Yusuke Nojima

发表

Rule weight update in parallel distributed fuzzy genetics-based machine learning with data rotation

Hisao Ishibuchi, Masakazu Yamane, Yusuke Nojima, 2013, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

On the Normalization in Evolutionary Multi-Modal Multi-Objective Optimization

Hisao Ishibuchi, Yusuke Nojima, Yiping Liu, 2020, 2020 IEEE Congress on Evolutionary Computation (CEC).

Hypervolume approximation using achievement scalarizing functions for evolutionary many-objective optimization

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2009, 2009 IEEE Congress on Evolutionary Computation.

Effects of the Use of Scalar Fitness Functions in Evolutionary Many-Objective Optimization

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2008 .

Identifying Properties of Real-World Optimisation Problems through a Questionnaire pdf

Yusuke Nojima, Koen van der Blom, Mariapia Marchi, 2020, ArXiv.

Use of Heuristic Local Search for Single-Objective Optimization in Multiobjective Memetic Algorithms

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2008, PPSN.

Strange evolution behavior of 7-bit binary string strategies in iterated prisoner's dilemma game

Hisao Ishibuchi, Yusuke Nojima, Takahiko Sudo, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

Use of Pareto-Optimal and Near Pareto-Optimal Candidate Rules in Genetic Fuzzy Rule Selection

Hisao Ishibuchi, Yusuke Nojima, Isao Kuwajima, 2007, Analysis and Design of Intelligent Systems using Soft Computing Techniques.

Iterative approach to indicator-based multiobjective optimization

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2007, 2007 IEEE Congress on Evolutionary Computation.

Optimal Distributions of Solutions for Hypervolume Maximization on Triangular and Inverted Triangular Pareto Fronts of Four-Objective Problems

Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, 2019, 2019 IEEE Symposium Series on Computational Intelligence (SSCI).

Multi-label Classification Based on Adaptive Resonance Theory

Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, 2020, 2020 IEEE Symposium Series on Computational Intelligence (SSCI).

Handling of Overlapping Objective Vectors in Evolutionary Multiobjective Optimization

Hisao Ishibuchi, Yusuke Nojima, H. Ishibuchi, 2005 .

Comparison between Global and Local Optimization Routing Method for Alleviation of Traffic Congestion

Hisao Ishibuchi, Yusuke Nojima, Ken Ohara, 2006 .

Dynamic Specification of a Reference Point for Hypervolume Calculation in SMS-EMOA

Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, 2018, 2018 IEEE Congress on Evolutionary Computation (CEC).

Behavior of Evolutionary Many-Objective Optimization

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2008, Tenth International Conference on Computer Modeling and Simulation (uksim 2008).

Incorporation of user preference into multi-objective genetic fuzzy rule selection for pattern classification problems

Hisao Ishibuchi, Yusuke Nojima, H. Ishibuchi, 2009, Artificial Life and Robotics.

Use of Inverted Triangular Weight Vectors in Decomposition-Based Many-Objective Algorithms

Hisao Ishibuchi, Yusuke Nojima, Ryo Imada, 2017, SEAL.

Archive Management in Interactive Evolutionary Computation with Minimum Requirement for Human User's Fitness Evaluation Ability

Hisao Ishibuchi, Yusuke Nojima, Takahiko Sudo, 2014, ICAISC.

Use of Multiple Grids with Different Scalarizing Functions in MOEA/D

Hisao Ishibuchi, Yusuke Nojima, Yuji Sakane, 2010 .

Obtaining accurate classifiers with Pareto-optimal and near Pareto-optimal rules

Hisao Ishibuchi, Yusuke Nojima, Isao Kuwajima, 2008, Artificial Life and Robotics.

Searching for Local Pareto Optimal Solutions: A Case Study on Polygon-Based Problems

Hisao Ishibuchi, Yusuke Nojima, Yiping Liu, 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).

Multiobjective Genetic Fuzzy Systems

Hisao Ishibuchi, Yusuke Nojima, 2009 .

Multiobjective fuzzy genetics-based machine learning with a reject option

Hisao Ishibuchi, Yusuke Nojima, 2016, 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Effects of Different Implementations of a Real Random Number Generator on the Search Behavior of Multiobjective Evolutionary Algorithms

Hisao Ishibuchi, Yusuke Nojima, Takahiro Funakoshi, 2016, 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems (ISIS).

Effects of discrete objective functions with different granularities on the search behavior of EMO algorithms

Hisao Ishibuchi, Masakazu Yamane, Yusuke Nojima, 2012, GECCO '12.

Evolutionary Fuzzy Rule-Based Methods for Monotonic Classification

Jesús Alcalá-Fdez, Rafael Alcalá, Yusuke Nojima, 2017, IEEE Transactions on Fuzzy Systems.

Use of multi-objective genetic rule selection for examining the effectiveness of inter-vehicle communication in traffic simulations

Hisao Ishibuchi, Yusuke Nojima, Yoshihiro Hamada, 2009, Artificial Life and Robotics.

A Simulation Study of Route Selection with Inter-Vehicle Communication

Hisao Ishibuchi, Yusuke Nojima, Yoshihiro Hamada, 2007 .

Effects of the use of non-geometric binary crossover on evolutionary multiobjective optimization

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2007, GECCO '07.

Effects of Including Single-Objective Optimal Solutions in an Initial Population on Evolutionary Multiobjective Optimization

Hisao Ishibuchi, Yusuke Nojima, Yasuhiro Hitotsuyanagi, 2009, 2009 International Conference of Soft Computing and Pattern Recognition.

Selecting a small number of non-dominated solutions to be presented to the decision maker

Hisao Ishibuchi, Yusuke Nojima, Hiroyuki Masuda, 2014, 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

High frequency compensated face hallucination with total variation constraint

Yen-Wei Chen, Yusuke Nojima, Xian-Hua Han, 2013, 2013 6th International Conference on Biomedical Engineering and Informatics.

Sensitivity of performance evaluation results by inverted generational distance to reference points

Hisao Ishibuchi, Yusuke Nojima, Hiroyuki Masuda, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Evolutionary Multiobjective Design of Fuzzy Rule-Based Classifiers

Hisao Ishibuchi, Yusuke Nojima, Isao Kuwajima, 2008, Computational Intelligence: A Compendium.

Reference point specification in MOEA/D for multi-objective and many-objective problems

Hisao Ishibuchi, Yusuke Nojima, Ken Doi, 2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Use of inverted triangular weight vectors in decomposition-based multiobjective algorithms

Hisao Ishibuchi, Yusuke Nojima, Ryo Imada, 2017, 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Repeated double cross-validation for choosing a single solution in evolutionary multi-objective fuzzy classifier design

Hisao Ishibuchi, Yusuke Nojima, H. Ishibuchi, 2013, Knowl. Based Syst..

Interactive (1+1) evolutionary strategy with one-fifth success rule

Hisao Ishibuchi, Yusuke Nojima, Takahiko Sudo, 2014, 2014 Asia-Pacific Conference on Computer Aided System Engineering (APCASE).

Genetic RuleSelection asaPostprocessing Procedure inFuzzyDataMining

Hisao Ishibuchi, Yusuke Nojima, 2006 .

Accuracy improvement of genetic fuzzy rule selection with candidate rule addition and membership tuning

Hisao Ishibuchi, Yusuke Nojima, Yutaka Kaisho, 2010, International Conference on Fuzzy Systems.

Guest Editorial: Special Issue on New Advances in Deep-Transfer Learning

Shiliang Sun, Dongrui Wu, Yusuke Nojima, 2019, IEEE Trans. Emerg. Top. Comput. Intell..

Learning from multiple data sets with different missing attributes and privacy policies: Parallel distributed fuzzy genetics-based machine learning approach

Hisao Ishibuchi, Masakazu Yamane, Yusuke Nojima, 2013, 2013 IEEE International Conference on Big Data.

Performance of Decomposition-Based Many-Objective Algorithms Strongly Depends on Pareto Front Shapes

Hisao Ishibuchi, Yu Setoguchi, Yusuke Nojima, 2017, IEEE Transactions on Evolutionary Computation.

Designing fuzzy rule-based classifiers that can visually explain their classification results to human users

Hisao Ishibuchi, Yusuke Nojima, Yutaka Kaisho, 2008, 2008 3rd International Workshop on Genetic and Evolving Systems.

Appropriate granularity specification for fuzzy classifier design by data complexity measures

Hisao Ishibuchi, Yusuke Nojima, Shinya Nishikawa, 2010, 2010 Second World Congress on Nature and Biologically Inspired Computing (NaBIC).

Empirical Analysis of Using Weighted Sum Fitness Functions in NSGA-II for Many-Objective 0/1 Knapsack Problems

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2009, 2009 11th International Conference on Computer Modelling and Simulation.

Reference Point Specification in Inverted Generational Distance for Triangular Linear Pareto Front

Hisao Ishibuchi, Yu Setoguchi, Yusuke Nojima, 2018, IEEE Transactions on Evolutionary Computation.

Offline Design of Interactive Evolutionary Algorithms with Different Genetic Operators at Each Generation

Hisao Ishibuchi, Yusuke Nojima, Takahiko Sudo, 2015 .

Design of Linguistically Interpretable Fuzzy Rule-Based Classifiers: A Short Review and Open Questions

Hisao Ishibuchi, Yusuke Nojima, Yutaka Kaisho, 2011, J. Multiple Valued Log. Soft Comput..

A many-objective test problem for visually examining diversity maintenance behavior in a decision space

Hisao Ishibuchi, Yusuke Nojima, Naoya Akedo, 2011, GECCO '11.

Prediction by Fuzzy Clustering and KNN on Validation Data With Parallel Ensemble of Interpretable TSK Fuzzy Classifiers

Hisao Ishibuchi, Yusuke Nojima, Wenjun Hu, 2020, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Topological Clustering via Adaptive Resonance Theory With Information Theoretic Learning

Hisao Ishibuchi, Yusuke Nojima, Naoyuki Kubota, 2019, IEEE Access.

Towards realistic optimization benchmarks: a questionnaire on the properties of real-world problems

Yusuke Nojima, Koen van der Blom, Mariapia Marchi, 2020, GECCO Companion.

Complexity, interpretability and explanation capability of fuzzy rule-based classifiers

Hisao Ishibuchi, Yusuke Nojima, Yutaka Kaisho, 2009, 2009 IEEE International Conference on Fuzzy Systems.

Special issue on evolutionary fuzzy systems

Francisco Herrera, Hisao Ishibuchi, Rafael Alcalá, 2011, Int. J. Comput. Intell. Syst..

Multiobjectivization from two objectives to four objectives in evolutionary multi-objective optimization algorithms

Hisao Ishibuchi, Yusuke Nojima, Yusuke Nakashima, 2010, 2010 Second World Congress on Nature and Biologically Inspired Computing (NaBIC).

Preference-based NSGA-II for many-objective knapsack problems

Hisao Ishibuchi, Kaname Narukawa, Yusuke Nojima, 2014, 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS).

Effects of Removing Overlapping Solutions on the Performance of the NSGA-II Algorithm

Hisao Ishibuchi, Kaname Narukawa, Yusuke Nojima, 2005, EMO.

Two-objective solution set optimization to maximize hypervolume and decision space diversity in multiobjective optimization

Hisao Ishibuchi, Masakazu Yamane, Yusuke Nojima, 2012, The 6th International Conference on Soft Computing and Intelligent Systems, and The 13th International Symposium on Advanced Intelligence Systems.

Difficulties in Evolutionary Multiobjective Optimization for Many-Objective Optimization Problems and Their Scalability Improvement Techniques

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2009 .

Analysis of interpretability-accuracy tradeoff of fuzzy systems by multiobjective fuzzy genetics-based machine learning

Hisao Ishibuchi, Yusuke Nojima, H. Ishibuchi, 2007, Int. J. Approx. Reason..

Simple modifications on heuristic rule generation and rule evaluation in Michigan-style fuzzy genetics-based machine learning

Hisao Ishibuchi, Yusuke Nojima, Kazuhiro Watanabe, 2015, 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Common properties of scalable multiobjective problems and a new framework of test problems

Hisao Ishibuchi, Yusuke Nojima, Hiroyuki Masuda, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Optimization of Scalarizing Functions Through Evolutionary Multiobjective Optimization

Hisao Ishibuchi, Yusuke Nojima, H. Ishibuchi, 2007, EMO.

Use of Piecewise Linear and Nonlinear Scalarizing Functions in MOEA/D

Hisao Ishibuchi, Yusuke Nojima, Ken Doi, 2016, PPSN.

Choosing extreme parents for diversity improvement in evolutionary multiobjective optimization algorithms

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2007, 2007 IEEE International Conference on Systems, Man and Cybernetics.

Search ability of evolutionary multiobjective optimization algorithms for multiobjective fuzzy genetics-based machine learning

Hisao Ishibuchi, Yusuke Nojima, Yusuke Nakashima, 2009, 2009 IEEE International Conference on Fuzzy Systems.

Difficulties in specifying reference points to calculate the inverted generational distance for many-objective optimization problems

Hisao Ishibuchi, Yusuke Nojima, Hiroyuki Masuda, 2014, 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM).

Effects of the Use of Multiple Fuzzy Partitions on the Search Ability of Multiobjective Fuzzy Genetics-Based Machine Learning

Hisao Ishibuchi, Yusuke Nojima, Yusuke Nakashima, 2009, 2009 International Conference of Soft Computing and Pattern Recognition.

Many-objective and many-variable test problems for visual examination of multiobjective search

Hisao Ishibuchi, Masakazu Yamane, Yusuke Nojima, 2013, 2013 IEEE Congress on Evolutionary Computation.

Newly Designed Slider-Based Micro-Actuator for Magnetic Disk Drive

Yusuke Nojima, Shinji Koganezawa, 2011 .

Evolutionary many-objective optimization by NSGA-II and MOEA/D with large populations

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2009, 2009 IEEE International Conference on Systems, Man and Cybernetics.

FML-based prediction agent and its application to game of Go

Yusuke Nojima, Naoyuki Kubota, Ryosuke Saga, 2017, 2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS).

Prescreening of Candidate Rules Using Association Rule Mining and Pareto-optimality in Genetic Rule Selection

Hisao Ishibuchi, Yusuke Nojima, Isao Kuwajima, 2007, KES.

A Study on Traffic Information Sharing Through Inter-Vehicle Communication

Hisao Ishibuchi, Yusuke Nojima, Ken Ohara, 2007, 2007 IEEE 22nd International Symposium on Intelligent Control.

Genetic rule selection with a multi-classifier coding scheme for ensemble classifier design

Hisao Ishibuchi, Yusuke Nojima, H. Ishibuchi, 2007, Int. J. Hybrid Intell. Syst..

Effects of fine fuzzy partitions on the generalization ability of evolutionary multi-objective fuzzy rule-based classifiers

Hisao Ishibuchi, Yusuke Nojima, Yusuke Nakashima, 2010, International Conference on Fuzzy Systems.

Pattern Classification with Linguistic Rules

Hisao Ishibuchi, Yusuke Nojima, H. Ishibuchi, 2008, Fuzzy Sets and Their Extensions: Representation, Aggregation and Models.

Maintaining the diversity of solutions by non-geometric binary crossover: a worst one-max solver competition case study

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2008, GECCO '08.

Use of Local Ranking in Cellular Genetic Algorithms with Two Neighborhood Structures

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2008, SEAL.

Multiple fuzzy state-value functions for human evaluation through interactive trajectory planning of a partner robot

Fumio Kojima, Toshio Fukuda, Yusuke Nojima, 2006, Soft Comput..

Data Set Subdivision for Parallel Distributed Implementation of Genetic Fuzzy Rule Selection

Hisao Ishibuchi, Yusuke Nojima, Isao Kuwajima, 2007, 2007 IEEE International Fuzzy Systems Conference.

Many-Objective Test Problems to Visually Examine the Behavior of Multiobjective Evolution in a Decision Space

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2010, PPSN.

An empirical study on the handling of overlapping solutions in evolutionary multiobjective optimization

Hisao Ishibuchi, Kaname Narukawa, Yusuke Nojima, 2005, GECCO '05.

Relation between Neighborhood Size and MOEA/D Performance on Many-Objective Problems

Hisao Ishibuchi, Yusuke Nojima, Naoya Akedo, 2013, EMO.

Distance-Based Analysis of Crossover Operators for Many-Objective Knapsack Problems

Hisao Ishibuchi, Yusuke Nojima, Hiroyuki Masuda, 2014, PPSN.

Multilayer Clustering Based on Adaptive Resonance Theory for Noisy Environments

Hisao Ishibuchi, Yusuke Nojima, Yiping Liu, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Evolution of Strategies With Different Representation Schemes in a Spatial Iterated Prisoner's Dilemma Game

Hisao Ishibuchi, Yusuke Nojima, Hiroyuki Ohyanagi, 2011, IEEE Transactions on Computational Intelligence and AI in Games.

Single-objective and multi-objective formulations of solution selection for hypervolume maximization

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2009, GECCO '09.

Multiobjective Fuzzy Genetics-Based Machine Learning for Multi-Label Classification

Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, 2020, 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Proposal of Approximating Hypervolume by Scalarizing Functions for Evolutionary Many-Objective Optimization

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2009 .

Divisive Hierarchical Clustering Based on Adaptive Resonance Theory

Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, 2020, 2020 International Symposium on Community-centric Systems (CcS).

Mobile Robot Controller Design by Evolutionary Multiobjective Optimization in Multiagent Environments

Hisao Ishibuchi, Yusuke Nojima, H. Ishibuchi, 2011, ICIRA.

Review of coevolutionary developments of evolutionary multi-objective and many-objective algorithms and test problems

Hisao Ishibuchi, Yusuke Nojima, Hiroyuki Masuda, 2014, 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM).

Greedy Approximation Algorithms for Generalized Maximum Flow Problem towards Relation Extraction in Information Networks

Yusuke Nojima, Masatoshi Yoshikawa, Yasuhito Asano, 2012, TJJCCGG.

Effects of Parent Selection in Inter-Task Crossover on the Search Ability of Evolutionary Multiobjective Multitasking

Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, 2020 .

Multiobjective data mining from solutions by evolutionary multiobjective optimization

Hisao Ishibuchi, Yusuke Nojima, Yuki Tanigaki, 2017, GECCO.

Effects of Problem-Specific Local Search Schemes in a Memetic EMO Algorithm

Hisao Ishibuchi, Yusuke Nojima, Yasuhiro Hitotsuyanagi, 2007 .

Difficulties in choosing a single final classifier from non-dominated solutions in multiobjective fuzzy genetics-based machine learning

Hisao Ishibuchi, Yusuke Nojima, H. Ishibuchi, 2013, 2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS).

Multiobjective Genetic Fuzzy Systems

Hisao Ishibuchi, Yusuke Nojima, H. Ishibuchi, 2015, Handbook of Computational Intelligence.

Effects of Using Two Neighborhood Structures in Cellular Genetic Algorithms for Function Optimization

Hisao Ishibuchi, Yusuke Nojima, Tsutomu Doi, 2006, PPSN.

Two-Layered Weight Vector Specification in Decomposition-Based Multi-Objective Algorithms for Many-Objective Optimization Problems

Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).

Trajectory generation and accumulation for partner robots based on structured learning

Fumio Kojima, Yusuke Nojima, Naoyuki Kubota, 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).

Adapting Reference Vectors and Scalarizing Functions by Growing Neural Gas to Handle Irregular Pareto Fronts

Hisao Ishibuchi, Yusuke Nojima, Yiping Liu, 2020, IEEE Transactions on Evolutionary Computation.

Parallel distributed genetic fuzzy rule selection

Hisao Ishibuchi, Yusuke Nojima, Isao Kuwajima, 2008, Soft Comput..

Optimization of Flexible Transfer System with Learning Mechanism.

Fumio Kojima, Toshio Fukuda, Yusuke Nojima, 2000 .

Fuzzy Data Mining by Heuristic Rule Extraction and Multiobjective Genetic Rule Selection

Hisao Ishibuchi, Yusuke Nojima, Isao Kuwajima, 2006, 2006 IEEE International Conference on Fuzzy Systems.

Genetic lateral tuning of membership functions as post-processing for hybrid fuzzy genetics-based machine learning

Hisao Ishibuchi, Yusuke Nojima, Yuji Takahashi, 2014, 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS).

Reference point specification in hypervolume calculation for fair comparison and efficient search

Hisao Ishibuchi, Yu Setoguchi, Yusuke Nojima, 2017, GECCO.

Effects of spatial structures on evolution of iterated prisoner’s dilemma game strategies with probabilistic decision making

Hisao Ishibuchi, Yusuke Nojima, Ken Ohara, 2007, 2007 IEEE Congress on Evolutionary Computation.

Many-objective test problems with multiple Pareto optimal regions in a decision space

Hisao Ishibuchi, Yusuke Nojima, Yasuhiro Hitotsuyanagi, 2011, 2011 IEEE Symposium on Computational Intelligence in Multicriteria Decision-Making (MDCM).

Implementation of cellular genetic algorithms with two neighborhood structures for single-objective and multi-objective optimization

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2011, Soft Comput..

An empirical study on the specification of the local search application probability in multiobjective memetic algorithms

Hisao Ishibuchi, Yusuke Nojima, Yasuhiro Hitotsuyanagi, 2007, 2007 IEEE Congress on Evolutionary Computation.

Effects of ensemble action selection with different usage of player's memory resource on the evolution of cooperative strategies for iterated prisoner's dilemma game

Hisao Ishibuchi, Yusuke Nojima, Takahiko Sudo, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

Comparing solution sets of different size in evolutionary many-objective optimization

Hisao Ishibuchi, Yusuke Nojima, Hiroyuki Masuda, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

Effects of Local Mating in Inter-task Crossover on the Performance of Decomposition-based Evolutionary Multiobjective Multitask optimization Algorithms

Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, 2020, 2020 IEEE Congress on Evolutionary Computation (CEC).

Effects of ensemble action selection on the evolution of iterated prisoner's dilemma game strategies

Hisao Ishibuchi, Yusuke Nojima, Takahiko Sudo, 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).

A GFML-based Robot Agent for Human and Machine Cooperative Learning on Game of Go

Toru Yamaguchi, Yusuke Nojima, Naoyuki Kubota, 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).

Path Planning and Control for a Flexible Transfer System

Fumio Kojima, Toshio Fukuda, Yusuke Nojima, 2000, J. Robotics Mechatronics.

Variants of heuristic rule generation from multiple patterns in Michigan-style fuzzy genetics-based machine learning

Hisao Ishibuchi, Yusuke Nojima, Kazuhiro Watanabe, 2015, 2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI).

Selecting a small number of representative non-dominated solutions by a hypervolume-based solution selection approach

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2009, 2009 IEEE International Conference on Fuzzy Systems.

Genetic Fuzzy Rule Selection with Pareto-optimal Rules as Candidate Rules

Hisao Ishibuchi, Yusuke Nojima, Isao Kuwajima, 2008 .

Tutorial II genetic fuzzy systems and its application to data mining

Yusuke Nojima, Chun-Hao Chen, 2015, 2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI).

Multiobjective genetic fuzzy rule selection with fuzzy relational rules

Hisao Ishibuchi, Yusuke Nojima, H. Ishibuchi, 2013, 2013 IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS).

Toward quantitative definition of explanation ability of fuzzy rule-based classifiers

Hisao Ishibuchi, Yusuke Nojima, H. Ishibuchi, 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).

How to Specify a Reference Point in Hypervolume Calculation for Fair Performance Comparison

Hisao Ishibuchi, Yu Setoguchi, Yusuke Nojima, 2018, Evolutionary Computation.

Use of biased neighborhood structures in multiobjective memetic algorithms

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2009, Soft Comput..

Fast Topological Adaptive Resonance Theory Based on Correntropy Induced Metric

Hisao Ishibuchi, Yusuke Nojima, Yiping Liu, 2019, 2019 IEEE Symposium Series on Computational Intelligence (SSCI).

Rotation effects of objective functions in parallel distributed multiobjective fuzzy genetics-based machine learning

Hisao Ishibuchi, Yusuke Nojima, Yuji Takahashi, 2015, 2015 10th Asian Control Conference (ASCC).

Effectiveness of designing fuzzy rule-based classifiers from Pareto-optimal rules

Hisao Ishibuchi, Yusuke Nojima, Isao Kuwajima, 2008, 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence).

Behavior of EMO algorithms on many-objective optimization problems with correlated objectives

Hisao Ishibuchi, Yusuke Nojima, Naoya Akedo, 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).

Trajectory generation for human-friendly behavior of partner robot using fuzzy evaluating interactive genetic algorithm

Fumio Kojima, Yusuke Nojima, Naoyuki Kubota, 2003, Proceedings 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation. Computational Intelligence in Robotics and Automation for the New Millennium (Cat. No.03EX694).

Ensemble Fuzzy Rule-Based Classifier Design by Parallel Distributed Fuzzy GBML Algorithms

Hisao Ishibuchi, Masakazu Yamane, Yusuke Nojima, 2012, SEAL.

Multiobjective genetic rule selection as a data mining postprocessing procedure

Hisao Ishibuchi, Yusuke Nojima, Isao Kuwajima, 2006, GECCO '06.

Comparison between Fuzzy and Interval Partitions in Evolutionary Multiobjective Design of Rule-Based Classification Systems

Hisao Ishibuchi, Yusuke Nojima, H. Ishibuchi, 2005, The 14th IEEE International Conference on Fuzzy Systems, 2005. FUZZ '05..

Effects of heuristic rule generation from multiple patterns in multiobjective fuzzy genetics-based machine learning

Hisao Ishibuchi, Yusuke Nojima, Kazuhiro Watanabe, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

A Novel Classification Method From the Perspective of Fuzzy Social Networks Based on Physical and Implicit Style Features of Data

Hisao Ishibuchi, Yusuke Nojima, Shitong Wang, 2020, IEEE Transactions on Fuzzy Systems.

Evolutionary multiobjective optimization for the design of fuzzy rule-based ensemble classifiers

Hisao Ishibuchi, Yusuke Nojima, H. Ishibuchi, 2006, Int. J. Hybrid Intell. Syst..

Training Data Subdivision and Periodical Rotation in Hybrid Fuzzy Genetics-Based Machine Learning

Hisao Ishibuchi, Yusuke Nojima, Shingo Mihara, 2011, 2011 10th International Conference on Machine Learning and Applications and Workshops.

A Framework for Large-Scale Multiobjective Optimization Based on Problem Transformation

Hisao Ishibuchi, Yusuke Nojima, Sanaz Mostaghim, 2018, IEEE Transactions on Evolutionary Computation.

Evolution of cooperative strategies for iterated prisoner's dilemma on networks

Hisao Ishibuchi, Yusuke Nojima, Takahiko Sudo, 2013, 2013 Fifth International Conference on Computational Aspects of Social Networks.

Evolutionary Multiobjective Fuzzy System Design

Hisao Ishibuchi, Yusuke Nojima, H. Ishibuchi, 2008, BIONETICS.

Simple changes in problem formulations make a difference in multiobjective genetic fuzzy systems

Hisao Ishibuchi, Yusuke Nojima, Yusuke Nakashima, 2010, 2010 4th International Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS).

Multiobjective Classification Rule Mining

Hisao Ishibuchi, Yusuke Nojima, Isao Kuwajima, 2008, Multiobjective Problem Solving from Nature.

Driving Evolutionary Multiobjective Search by a Scalarizing Fitness Function

Hisao Ishibuchi, Yusuke Nojima, Tsutomu Doi, 2006 .

A Review of the Application of Multiobjective Evolutionary Fuzzy Systems: Current Status and Further Directions

Francisco Herrera, Hisao Ishibuchi, Rafael Alcalá, 2013, IEEE Transactions on Fuzzy Systems.

Pareto Fronts of Many-Objective Degenerate Test Problems

Hisao Ishibuchi, Yusuke Nojima, Hiroyuki Masuda, 2016, IEEE Transactions on Evolutionary Computation.

Use of very small training data subsets in parallel distributed genetic fuzzy rule selection

Hisao Ishibuchi, Yusuke Nojima, Shingo Mihara, 2010, 2010 4th International Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS).

DVM-05 NEWLY DESIGNED SLIDER-BASED MICRO-ACTUATOR FOR MAGNETIC DISK DRIVE(Drive Mechanisms I,Technical Program of Oral Presentations)

Yusuke Nojima, Shinji Koganezawa, 2009 .

Visual examination of the behavior of EMO algorithms for many-objective optimization with many decision variables

Hisao Ishibuchi, Yusuke Nojima, Hiroyuki Masuda, 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).

Evolution of cooperative behavior among heterogeneous agents with different strategy representations in an iterated prisoner’s dilemma game

Hisao Ishibuchi, Yusuke Nojima, Yusuke Nakashima, 2009, Artificial Life and Robotics.

Fuzzy Ensemble Design through Multi-Objective Fuzzy Rule Selection

Hisao Ishibuchi, Yusuke Nojima, H. Ishibuchi, 2006, Multi-Objective Machine Learning.

Effects of the Existence of Highly Correlated Objectives on the Behavior of MOEA/D

Hisao Ishibuchi, Yusuke Nojima, Yasuhiro Hitotsuyanagi, 2011, EMO.

Effects of Data Reduction on the Generalization Ability of Parallel Distributed Genetic Fuzzy Rule Selection

Hisao Ishibuchi, Yusuke Nojima, H. Ishibuchi, 2009, 2009 Ninth International Conference on Intelligent Systems Design and Applications.

Diversity Improvement by Non-Geometric Binary Crossover in Evolutionary Multiobjective Optimization

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2010, IEEE Transactions on Evolutionary Computation.

Performance comparison of EMO algorithms on test problems with different search space shape

Hisao Ishibuchi, Yusuke Nojima, Yuki Tanigaki, 2017, 2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS).

Comparison between Single-Objective and Multi-Objective Genetic Algorithms: Performance Comparison and Performance Measures

Hisao Ishibuchi, Yusuke Nojima, Tsutomu Doi, 2006, 2006 IEEE International Conference on Evolutionary Computation.

An efficient and effective approach for mining a group stock portfolio using mapreduce

Yusuke Nojima, Chao-Chun Chen, Chun-Hao Chen, 2017, Intell. Data Anal..

Discussions on Interpretability of Fuzzy Systems using Simple Examples

Hisao Ishibuchi, Yusuke Nojima, H. Ishibuchi, 2009, IFSA/EUSFLAT Conf..

An Empirical Study on the Effect of a Parallel Distributed Implementation of GAssist

Hisao Ishibuchi, Yusuke Nojima, Patrik Ivarsson, 2013 .

Evolving pet robot with emotional model

Toshio Fukuda, Yusuke Nojima, Naoyuki Kubota, 2000, Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512).

A Study on Performance Evaluation Ability of a Modified Inverted Generational Distance Indicator

Hisao Ishibuchi, Yusuke Nojima, Hiroyuki Masuda, 2015, GECCO.

Performance evaluation of evolutionary multiobjective optimization algorithms for multiobjective fuzzy genetics-based machine learning

Hisao Ishibuchi, Yusuke Nojima, Yusuke Nakashima, 2011, Soft Comput..

Effects of parallel distributed implementation on the search performance of Pittsburgh-style genetics-based machine learning algorithms

Hisao Ishibuchi, Yusuke Nojima, H. Ishibuchi, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Comparison of different fitness functions in genetic fuzzy rule selection

Special issue on evolutionary fuzzy systems

Francisco Herrera, Hisao Ishibuchi, Rafael Alcalá, 2011, Int. J. Comput. Intell. Syst..

Effects of duplicated objectives in many-objective optimization problems on the search behavior of hypervolume-based evolutionary algorithms

Hisao Ishibuchi, Masakazu Yamane, Yusuke Nojima, 2013, 2013 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM).

DataSetSubdivision forParallel Distributed Implementation ofGenetic FuzzyRuleSelection

Yusuke Nojima, 2007 .

Stacked Deep Learning Structure with Bidirectional Long-Short Term Memory for Stock Market Prediction

Yusuke Nojima, Ying Xu, Bingxin Zheng, 2020, NCAA.

Evolution of strategies in a spatial IPD game with a number of different representation schemes

Hisao Ishibuchi, Yusuke Nojima, Koichiro Hoshino, 2012, 2012 IEEE Congress on Evolutionary Computation.

How to compare many-objective algorithms under different settings of population and archive sizes

Hisao Ishibuchi, Yu Setoguchi, Yusuke Nojima, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Multiobjective Formulations of Fuzzy Rule-Based Classification System Design

Hisao Ishibuchi, Yusuke Nojima, H. Ishibuchi, 2005, EUSFLAT Conf..

Difficulty in Evolutionary Multiobjective Optimization of Discrete Objective Functions with Different Granularities

Hisao Ishibuchi, Masakazu Yamane, Yusuke Nojima, 2013, EMO.

Behavior of Multiobjective Evolutionary Algorithms on Many-Objective Knapsack Problems

Hisao Ishibuchi, Yusuke Nojima, Naoya Akedo, 2015, IEEE Transactions on Evolutionary Computation.

Generating single granularity-based fuzzy classification rules for multiobjective genetic fuzzy rule selection

Francisco Herrera, Hisao Ishibuchi, Rafael Alcalá, 2009, 2009 IEEE International Conference on Fuzzy Systems.

Ensemble classifier design by parallel distributed implementation of genetic fuzzy rule selection for large data sets

Hisao Ishibuchi, Yusuke Nojima, Shingo Mihara, 2010, IEEE Congress on Evolutionary Computation.

Examining the Effect of Elitism in Cellular Genetic Algorithms Using Two Neighborhood Structures

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2008, PPSN.

Effects of constructing fuzzy discretization from crisp discretization for rule-based classifiers

Hisao Ishibuchi, Yusuke Nojima, Isao Kuwajima, 2008, Artificial Life and Robotics.

Handling a training dataset as a black-box model for privacy preserving in fuzzy GBML algorithms

Hisao Ishibuchi, Yusuke Nojima, H. Ishibuchi, 2015, 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Indicator-based evolutionary algorithm with hypervolume approximation by achievement scalarizing functions

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2010, GECCO '10.

Michigan-style fuzzy GBML with (1+1)-ES generation update and multi-pattern rule generation

Hisao Ishibuchi, Yusuke Nojima, Kazuhiro Watanabe, 2017, 2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS).

Relation Between Weight Vectors and Solutions in MOEA/D

Hisao Ishibuchi, Yusuke Nojima, Ken Doi, 2015, 2015 IEEE Symposium Series on Computational Intelligence.

Imitative behavior generation for a vision-based partner robot

Fumio Kojima, Yusuke Nojima, Naoyuki Kubota, 2004, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566).

Improving 1by1EA to Handle Various Shapes of Pareto Fronts

Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, 2018, PPSN.

Performance evaluation of evolutionary multiobjective approaches to the design of fuzzy rule-based ensemble classifiers

Hisao Ishibuchi, Yusuke Nojima, H. Ishibuchi, 2005, Fifth International Conference on Hybrid Intelligent Systems (HIS'05).

How to Choose Solutions for Local Search in Multiobjective Combinatorial Memetic Algorithms

Hisao Ishibuchi, Yusuke Nojima, Yasuhiro Hitotsuyanagi, 2010, PPSN.

Difficulties of MOEA/D with Tchebycheff function for many-objective DTLZ 1-4 problems

Yusuke Nojima, Ken Doi, Hisao Ishibuchi, 2016 .

Finding Simple Fuzzy Classification Systems with High Interpretability Through Multiobjective Rule Selection

Hisao Ishibuchi, Yusuke Nojima, Isao Kuwajima, 2006, KES.

Effects of configuration of agents with different strategy representations on the evolution of cooperative behavior in a spatial IPD game

Hisao Ishibuchi, Yusuke Nojima, Junpei Maeda, 2011, 2011 IEEE Conference on Computational Intelligence and Games (CIG'11).

Hybrid fuzzy genetics-based machine learning with entropy-based inhomogeneous interval discretization

Hisao Ishibuchi, Yusuke Nojima, Yuji Takahashi, 2014, 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Fuzzy Genetics-Based Machine Learning to Handle Continually Increasing Unknown Classes

Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, 2020 .

Constrained multiobjective distance minimization problems

Hisao Ishibuchi, Yusuke Nojima, Yiping Liu, 2019, GECCO.

Effects of Diversity Measures on the Design of Ensemble Classifiers by Multiobjective Genetic Fuzzy Rule Selection with a Multi-classifier Coding Scheme

Hisao Ishibuchi, Yusuke Nojima, H. Ishibuchi, 2008, HAIS.

A Study on the Specification of a Scalarizing Function in MOEA/D for Many-Objective Knapsack Problems

Hisao Ishibuchi, Yusuke Nojima, Naoya Akedo, 2013, LION.

Evolution of cooperative behavior in a spatial iterated prisoner's dilemma game with different representation schemes of game strategies

Hisao Ishibuchi, Yusuke Nojima, Hiroyuki Ohyanagi, 2009, 2009 IEEE International Conference on Fuzzy Systems.

Effects of the Number of Opponents on the Evolution of Cooperation in the Iterated Prisoner's Dilemma

Hisao Ishibuchi, Yusuke Nojima, Takahiko Sudo, 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.

Recombination of Similar Parents in SMS-EMOA on Many-Objective 0/1 Knapsack Problems

Hisao Ishibuchi, Yusuke Nojima, Naoya Akedo, 2012, PPSN.

Evolutionary many-objective optimization

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2008, 2008 3rd International Workshop on Genetic and Evolving Systems.

Evolutionary many-objective optimization: A short review

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Evolutionary Multi-objective Rule Selection for Classification Rule Mining

Hisao Ishibuchi, Yusuke Nojima, Isao Kuwajima, 2008, Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases.

Designing Fuzzy Ensemble Classifiers by Evolutionary Multiobjective Optimization with an Entropy-Based Diversity Criterion

Hisao Ishibuchi, Yusuke Nojima, 2006, 2006 Sixth International Conference on Hybrid Intelligent Systems (HIS'06).

Parallel Distributed Hybrid Fuzzy GBML Models With Rule Set Migration and Training Data Rotation

Hisao Ishibuchi, Yusuke Nojima, Shingo Mihara, 2013, IEEE Transactions on Fuzzy Systems.

Adaptation of Scalarizing Functions in MOEA/D: An Adaptive Scalarizing Function-Based Multiobjective Evolutionary Algorithm

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2009, EMO.

Incorporation of decision maker's preference into evolutionary multiobjective optimization algorithms

Hisao Ishibuchi, Kaname Narukawa, Yusuke Nojima, 2006, GECCO '06.

Topological Kernel Bayesian ARTMAP

Hisao Ishibuchi, Yusuke Nojima, Chu Kiong Loo, 2018, 2018 World Automation Congress (WAC).

Accuracy-Complexity Tradeoff Analysis in Data Mining by Multiobjective Genetic Rule Selection

Hisao Ishibuchi, Yusuke Nojima, Isao Kuwajima, 2006 .

Incorporation of Scalarizing Fitness Functions into Evolutionary Multiobjective Optimization Algorithms

Hisao Ishibuchi, Yusuke Nojima, Tsutomu Doi, 2006, PPSN.

Effectiveness of scalability improvement attempts on the performance of NSGA-II for many-objective problems

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2008, GECCO '08.

Modification of Evolutionary Multiobjective Optimization Algorithms for Multiobjective Design of Fuzzy Rule-Based Classification Systems

Hisao Ishibuchi, Kaname Narukawa, Yusuke Nojima, 2005, The 14th IEEE International Conference on Fuzzy Systems, 2005. FUZZ '05..

Multi-objective behavior coordination based on sensory network for multiple mobile robots

Yusuke Nojima, Y. Nojima, 2009, 2009 IEEE Workshop on Robotic Intelligence in Informationally Structured Space.

A Multiobjective Test Suite with Hexagon Pareto Fronts and Various Feasible Regions

Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).

Performance comparison of NSGA-II and NSGA-III on various many-objective test problems

Hisao Ishibuchi, Yu Setoguchi, Yusuke Nojima, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Comparison of Hypervolume, IGD and IGD+ from the Viewpoint of Optimal Distributions of Solutions

Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, 2019, EMO.

Weighted Optimization Framework for Large-scale Multi-objective Optimization

Hisao Ishibuchi, Yusuke Nojima, Sanaz Mostaghim, 2016, GECCO.

A hybrid two-stage financial stock forecasting algorithm based on clustering and ensemble learning

Yusuke Nojima, Shaoliang Peng, Ying Xu, 2020, Applied Intelligence.

Interactive genetic fuzzy rule selection through evolutionary multiobjective optimization with user preference

Hisao Ishibuchi, Yusuke Nojima, H. Ishibuchi, 2009, 2009 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making(MCDM).

Strategy evolution in a spatial IPD game where each agent is not allowed to play against itself

Hisao Ishibuchi, Yusuke Nojima, Koichiro Hoshino, 2012, 2012 IEEE Congress on Evolutionary Computation.

Modified Distance Calculation in Generational Distance and Inverted Generational Distance

Hisao Ishibuchi, Yusuke Nojima, Hiroyuki Masuda, 2015, EMO.

Talk about This and That on Fuzzy Logic

Michio Sugeno, Yusuke Nojima, Motohide Umano, 2014 .

Improving a fuzzy association rule-based classification model by granularity learning based on heuristic measures over multiple granularities

Francisco Herrera, Hisao Ishibuchi, Rafael Alcalá, 2013, 2013 IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS).

Algorithm structure optimization by choosing operators in multiobjective genetic local search

Hisao Ishibuchi, Yu Setoguchi, Yusuke Nojima, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

Performance Comparison of Multiobjective Evolutionary Algorithms on Problems with Partially Different Properties from Popular Test Suites

Hisao Ishibuchi, Yusuke Nojima, Takashi Matsumoto, 2018, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Effects of dominance resistant solutions on the performance of evolutionary multi-objective and many-objective algorithms

Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, 2020, GECCO.

Simultaneous use of different scalarizing functions in MOEA/D

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2010, GECCO '10.

Application of Parallel Distributed Implementation to Multiobjective Fuzzy Genetics-Based Machine Learning

Hisao Ishibuchi, Yusuke Nojima, Yuji Takahashi, 2015, ACIIDS.

Special Issue on "Evolutionary Fuzzy Systems" EFSs

Hisao Ishibuchi, Rafael Alcalá, Yusuke Nojima, 2013, Knowl. Based Syst..

Multiobjective fuzzy genetics-based machine learning based on MOEA/D with its modifications

Hisao Ishibuchi, Yusuke Nojima, Shuji Takemura, 2017, 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Meta-level multi-objective formulations of set optimization for multi-objective optimization problems: multi-reference point approach to hypervolume maximization

Hisao Ishibuchi, Yusuke Nojima, Hiroyuki Masuda, 2014, GECCO.

Multiobjective Evolutionary Data Mining for Performance Improvement of Evolutionary Multiobjective Optimization

Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, 2018, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Effect of Solution Information Sharing between Tasks on the Search Ability of Evolutionary Multiobjective Multitasking Algorithms

Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, 2019, 2019 IEEE Symposium Series on Computational Intelligence (SSCI).

A meta-fuzzy classifier for specifying appropriate fuzzy partitions by genetic fuzzy rule selection with data complexity measures

Hisao Ishibuchi, Yusuke Nojima, Shinya Nishikawa, 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).

A Double-Niched Evolutionary Algorithm and Its Behavior on Polygon-Based Problems

Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, 2018, PPSN.

How to strike a balance between local search and global search in multiobjective memetic algorithms for multiobjective 0/1 knapsack problems

Hisao Ishibuchi, Yusuke Nojima, Naoya Akedo, 2013, 2013 IEEE Congress on Evolutionary Computation.

Interactive evolutionary computation with minimum fitness evaluation requirement and offline algorithm design

Hisao Ishibuchi, Yusuke Nojima, Takahiko Sudo, 2016, SpringerPlus.

Handling Imbalance Between Convergence and Diversity in the Decision Space in Evolutionary Multimodal Multiobjective Optimization

Hisao Ishibuchi, Yusuke Nojima, Yiping Liu, 2020, IEEE Transactions on Evolutionary Computation.

Special issue on genetic fuzzy systems: new advances

Rafael Alcalá, Yusuke Nojima, Y. Nojima, 2009, Evol. Intell..

Maintaining the Diversity of Solutions by Non-Geometric Binary Crossover in Genetic Algorithms

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2008 .

Multiobjective genetic fuzzy rule selection of single granularity-based fuzzy classification rules and its interaction with the lateral tuning of membership functions

Francisco Herrera, Hisao Ishibuchi, Rafael Alcalá, 2011, Soft Comput..

Use of Two Reference Points in Hypervolume-Based Evolutionary Multiobjective Optimization Algorithms

Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, 2018, PPSN.

Further analysis on strange evolution behavior of 7-bit binary string strategies in iterated prisoner's dilemma game

Hisao Ishibuchi, Yusuke Nojima, Takahiko Sudo, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Interactive Fuzzy Modeling by Evolutionary Multiobjective Optimization with User Preference

Hisao Ishibuchi, Yusuke Nojima, H. Ishibuchi, 2009, IFSA/EUSFLAT Conf..

Human Intelligence Meets Smart Machine: A Special Event at the IEEE International Conference on Systems, Man, and Cybernetics 2018

Yusuke Nojima, Naoyuki Kubota, Chang-Shing Lee, 2020, IEEE Systems, Man, and Cybernetics Magazine.

Fuzzy Style K-Plane Clustering

Hisao Ishibuchi, Yusuke Nojima, Shitong Wang, 2020, IEEE Transactions on Fuzzy Systems.

Special issue on soft computing for big data and social informatics

Yusuke Nojima, Chun-Hao Chen, Chuan-Kang Ting, 2017, Soft Comput..

Many-Objective Problems Are Not Always Difficult for Pareto Dominance-Based Evolutionary Algorithms

Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, 2020, ECAI.

Analysis of evolutionary multi-tasking as an island model

Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, 2018, GECCO.

Meta-optimization based multi-objective test problem generation using WFG toolkit

Hisao Ishibuchi, Yusuke Nojima, Yuki Tanigaki, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Parallel Distributed Implementation of Genetics-Based Machine Learning for Fuzzy Classifier Design

Hisao Ishibuchi, Yusuke Nojima, Shingo Mihara, 2010, SEAL.

Effects of using two neighborhood structures on the performance of cellular evolutionary algorithms for many-objective optimization

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2009, 2009 IEEE Congress on Evolutionary Computation.

Realizing Deep High-Order TSK Fuzzy Classifier by Ensembling Interpretable Zero-Order TSK Fuzzy Subclassifiers

Hisao Ishibuchi, Yusuke Nojima, Shitong Wang, 2020, IEEE Transactions on Fuzzy Systems.

Fuzzy sets for decision making in emerging domains

Yusuke Nojima, Irene Díaz, 2020, Fuzzy Sets Syst..

Implementation of Multiobjective Memetic Algorithms for Combinatorial Optimization Problems: A Knapsack Problem Case Study

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2009 .

Cluster-Based Membership Function Acquisition Approaches for Mining Fuzzy Temporal Association Rules

Tzung-Pei Hong, Yusuke Nojima, Chun-Hao Chen, 2020, IEEE Access.

Mutation operators based on variable grouping for multi-objective large-scale optimization

Hisao Ishibuchi, Yusuke Nojima, Sanaz Mostaghim, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

Selected Papers from NaBIC 2010

Yusuke Nojima, Mario Köppen, 2011 .

Hypervolume Subset Selection for Triangular and Inverted Triangular Pareto Fronts of Three-Objective Problems

Hisao Ishibuchi, Yu Setoguchi, Yusuke Nojima, 2017, FOGA '17.

Characteristics of many-objective test problems and penalty parameter specification in MOEA/D

Hisao Ishibuchi, Yusuke Nojima, Ken Doi, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

An empirical study on similarity-based mating for evolutionary multiobjective combinatorial optimization

Hisao Ishibuchi, Kaname Narukawa, Yusuke Nojima, 2008, Eur. J. Oper. Res..

Application of parallel distributed genetics-based machine learning to imbalanced data sets

Hisao Ishibuchi, Yusuke Nojima, Shingo Mihara, 2012, 2012 IEEE International Conference on Fuzzy Systems.

Scalability of multiobjective genetic local search to many-objective problems: Knapsack problem case studies

Hisao Ishibuchi, Yusuke Nojima, Yasuhiro Hitotsuyanagi, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Neighborhood Specification for Game Strategy Evolution in a Spatial Iterated Prisoner's Dilemma Game

Hisao Ishibuchi, Yusuke Nojima, Koichiro Hoshino, 2013, LION.

Relation between Pareto-Optimal Fuzzy Rules and Pareto-Optimal Fuzzy Rule Sets

Hisao Ishibuchi, Yusuke Nojima, Isao Kuwajima, 2007, 2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making.

Double cross-validation for performance evaluation of multi-objective genetic fuzzy systems

Hisao Ishibuchi, Yusuke Nojima, Yusuke Nakashima, 2011, 2011 IEEE 5th International Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS).

Dual-grid model of MOEA/D for evolutionary constrained multiobjective optimization

Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, 2018, GECCO.

Multi-Label Classification via Adaptive Resonance Theory-Based Clustering pdf

Hisao Ishibuchi, Yusuke Nojima, Chu Kiong Loo, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Michigan-Style Fuzzy Genetics-Based Machine Learning for Class Imbalance Data

Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, 2021, Journal of Japan Society for Fuzzy Theory and Intelligent Informatics.

Classifier Design Based on Class-Wise Fast Topological CIM-Based Adaptive Resonance Theory

Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, 2021 .

Adaptive Resonance Theory-based Topological Clustering with a Divisive Hierarchical Structure Capable of Continual Learning

Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, 2022 .

Multi-Modal Multi-Objective Traveling Salesman Problem and its Evolutionary Optimizer

Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, 2021, 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

AI-Fuzzy Markup Language with Computational Intelligence for High-School Student Learning pdf

Yusuke Nojima, Marek Reformat, Chang-Shing Lee, 2021, ArXiv.

Effects of Different Optimization Formulations in Evolutionary Reinforcement Learning on Diverse Behavior Generation

Yusuke Nojima, Naoki Masuyama, Victor Villin, 2021, 2021 IEEE Symposium Series on Computational Intelligence (SSCI).

A Decomposition-Based Multi-Modal Multi-Objective Evolutionary Algorithm Transforming to Two-Objective Problems

Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, 2021 .

Extension of Multi-Objective Fuzzy Genetics-Based Machine Learning for Multi-Label Classification to Many-Objective Optimization

Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, 2021 .

Incorporation of Hypervolume Approximation with Scalarizing Functions into Indicator-Based Evolutionary Multiobjective Optimization Algorithms

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2010 .

Rule Selection for Large Data Sets

Hisao Ishibuchi, Yusuke Nojima, H. Ishibuchi, 2008 .

Hisao Ishibuchi, Kaname Narukawa, Yusuke Nojima, 2005 .

Computational Efficiency of Parallel Distributed Genetic Fuzzy Rule Selection for Large Data Sets

Yusuke Nojima, Y. Nojima, 2008 .

Application of Fuzzy Inference Rules to Early Semi-automatic Estimation of Activity Duration in Software Project Management

Hisao Ishibuchi, Yusuke Nojima, Hwa Jen Yap, 2014, IEEE Transactions on Human-Machine Systems.