T. Murata

发表

Multi-objective genetic algorithm and its applications to flowshop scheduling

H. Ishibuchi, Hideo Tanaka, T. Murata, 1996 .

MOGA: multi-objective genetic algorithms

H. Ishibuchi, T. Murata, 1995, Proceedings of 1995 IEEE International Conference on Evolutionary Computation.

Single-objective and two-objective genetic algorithms for selecting linguistic rules for pattern classification problems

Hisao Ishibuchi, Tadahiko Murata, I. Burhan Türksen, 1997, Fuzzy Sets Syst..

Performance evaluation of fuzzy rule-based classification systems obtained by multi-objective genetic algorithms

H. Ishibuchi, M. Gen, T. Murata, 1998 .

Minimizing the fuzzy rule base and maximizing its performance by a multiobjective genetic algorithm

H. Ishibuchi, T. Murata, H. Ishibuchi, 1997, Proceedings of 6th International Fuzzy Systems Conference.

Cellular Genetic Algorithm for Multi-Objective Optimization

Tadahiko Murata, Mitsuo Gen Ashikaga, T. Murata, 2001 .

Multi-objective genetic local search for minimizing the number of fuzzy rules for pattern classification problems

H. Ishibuchi, T. Murata, T. Murata, 1998, 1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228).

Multi-agent Cooperation Using Genetic Network Programming with Automatically Defined Groups

T. Murata, Takashi Nakamura, 2004, GECCO.

Adjusting fuzzy partitions by genetic algorithms and histograms for pattern classification problems

H. Ishibuchi, M. Gen, T. Murata, 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).

Multi-objective vehicle routing problems using two-fold EMO algorithms to enhance solution similarity on non-dominated solutions

Tadahiko Murata, Ryota Itai, T. Murata, 2005 .

Multi-objective scheduling with fuzzy due-date

H. Ishibuchi, M. Gen, T. Murata, 1998 .

Rule-based weight definition for multi-objective fuzzy scheduling with the OWA operator

M. Gen, T. Murata, H. Oshida, 2000, 2000 26th Annual Conference of the IEEE Industrial Electronics Society. IECON 2000. 2000 IEEE International Conference on Industrial Electronics, Control and Instrumentation. 21st Century Technologies.

Multiobjective fuzzy scheduling with the OWA operator for handling different scheduling criteria and different job importance

H. Ishibuchi, M. Gen, T. Murata, 1999, FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315).

Three-objective genetic algorithms for designing compact fuzzy rule-based systems for pattern classification problems

H. Ishibuchi, M. Gen, T. Murata, 2001 .

Local Search Direction for Multi-Objective Optimization Using Memetic EMO Algorithms

H. Ishibuchi, T. Murata, Shiori Kaige, 2005 .

Public pension planning on the basis of generation-based funding scheme for intra-generational equity

T. Murata, H. Tamura, D. Banjo, 2008, 2008 4th International IEEE Conference Intelligent Systems.

Reformulation of various non-fuzzy scheduling problems using the concept of fuzzy due-date

Hisao Ishibuchi, Tadahiko Murata, H. Ishibuchi, 1997, Proceedings of 6th International Fuzzy Systems Conference.

Construction of fuzzy classification systems using multiple fuzzy rule tables

Mitsuo Gen, Hisao Ishibuchi, Tadahiko Murata, 1999, IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028).

Cellular Genetic Algorithm for Multi-Objective Optimization Tadahiko Murata

Mitsuo Gen Ashikaga, T. Murata, 2001 .

Linguistic Rule Extraction from Numerical Data for High-dimensional Classification Problems

Hisao Ishibuchi, Tomoharu Nakashima, Tadahiko Murata, 1999, Journal of Advanced Computational Intelligence and Intelligent Informatics.

Flowshop Scheduling by Genetic Local Search

Hisao Ishibuchi, Tadahiko Murata, Shigemitsu Tomioka, 1997 .

Construction of Fuzzy Classification Systems with Linguistic If-Then Rules Using Genetic Algorithms

Hideo Tanaka, Hisao Ishibuchi, Tadahiko Murata, 2017 .

Income Allocation to Workers in Synthetic Populations Using Basic Survey on Wage Structure

T. Murata, Shota Sugiura, Takuya Harada, 2019, Transactions of the Institute of Systems, Control and Information Engineers.

Synthesizing Large-scale Household Composition Considering Family Type and Role in Household

T. Murata, Takuya Harada, D. Masui, 2018 .

Agent Heterogeneity and Facility Congestion

T. Murata, S. Matsumoto, Taiyo Maeda, 2015 .

Optimal Planning of Public Pension System under Uncertainty for Realizing Intergenerational Equity and Financial Sustainability

T. Murata, H. Tamura, D. Banjo, 2007 .

Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, Matsushima, Japan, March 5-8, 2007, Proceedings

Kalyanmoy Deb, Tomoyuki Hiroyasu, Shigeru Obayashi, 2007, EMO.

Genetic Network Programming with Automatically Defined Groups for Role Assignment Among Multiple-agents

Tadahiko Murata, Takashi Nakamura, T. Murata, 2006 .

Voting Simulation for Increasing Voter Turnout and Reducing the Number of Polls

T. Murata, Kenta Konishi, Ryo Natori, 2008 .

Intra-generational Redistribution under Public Pension Planning Based on Generation-based Funding Scheme

T. Murata, H. Tamura, D. Banjo, 2009 .

Transferring Method to Generation-based Funding Scheme in Public Pension Planning

T. Murata, H. Tamura, D. Banjo, 2008 .

Construction of Fuzzy Classification Systems Using Genetic Algorithms

Hideo Tanaka, Hisao Ishibuchi, Tadahiko Murata, 1995 .

Learning of fuzzy classification rules by a genetic algorithm

Hisao Ishibuchi, Tadahiko Murata, H. Ishibuchi, 1997 .

Selection of Linguistic Classfication Rules Using Two-objective Genetic Algorithms

Hisao Ishibuchi, Tadahiko Murata, H. Ishibuchi, 1995 .

Agent-Based Approaches in Economic and Social Complex Systems VII

T. Murata, Shingo Takahashi, T. Terano, 2013, Agent-Based Social Systems.

Awareness in Brain, Society, and Beyond: A Bridge Connecting Raw Data to Perception and Cognition

Robert Kozma, Goutam Chakraborty, Tadahiko Murata, 2015, IEEE Systems, Man, and Cybernetics Magazine.

Performance evaluation of fuzzy classifier systems for multidimensional pattern classification problems

Hisao Ishibuchi, Tomoharu Nakashima, Tadahiko Murata, 1999, IEEE Trans. Syst. Man Cybern. Part B.

A problem solving environment that assists model development for reinforcement learning algorithms

Yusuke Aoki, Tadahiko Murata, Taiyo Maeda, 2010, 5th International Conference on Computer Sciences and Convergence Information Technology.

Construction of PSE System for Developing Reinforcement Learning Algorithms

Yusuke Aoki, Tadahiko Murata, Taiyo Maeda, 2010, J. Convergence Inf. Technol..

Social Simulation Based on Human Behavioral Data Collected by Web-Based Experimental System

Yang Cao, Tadahiko Murata, Taiyo Maeda, 2010, J. Convergence Inf. Technol..

Balance between genetic search and local search in memetic algorithms for multiobjective permutation flowshop scheduling

Hisao Ishibuchi, Tadahiko Murata, Tadashi Yoshida, 2003, IEEE Trans. Evol. Comput..

Specification of Genetic Search Directions in Cellular Multi-objective Genetic Algorithms

Mitsuo Gen, Hisao Ishibuchi, Tadahiko Murata, 2001, EMO.

Three-objective genetics-based machine learning for linguistic rule extraction

Hisao Ishibuchi, Tomoharu Nakashima, Tadahiko Murata, 2001, Inf. Sci..

Multiobjective Optimization in Linguistic Rule Extraction from Numerical Data

Hisao Ishibuchi, Tomoharu Nakashima, Tadahiko Murata, 2001, EMO.

Tradeoff between the performance of fuzzy rule-based classification systems and the number of fuzzy if-then rules

Hisao Ishibuchi, T. Sotani, T. Murata, 1999, 18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397).

Techniques and Applications of Genetic Algorithm-Based Methods for Designing Compact Fuzzy Classification Systems

Hisao Ishibuchi, Tomoharu Nakashima, Tadahiko Murata, 1999 .

Evolutionary algorithms for constructing linguistic rule-based systems for high-dimensional pattern classification problems

Hisao Ishibuchi, Tomoharu Nakashima, Tadahiko Murata, 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).

Genetic-algorithm-based approaches to classification problems

Hisao Ishibuchi, Tomoharu Nakashima, Tadahiko Murata, 1997 .

Linguistic rule extraction from neural networks and genetic-algorithm-based rule selection

Hisao Ishibuchi, Tadahiko Murata, M. Nii, 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

Selecting linguistic classification rules by two-objective genetic algorithms

Hisao Ishibuchi, I. B. Turksen, Tadahiko Murata, 1995, 1995 IEEE International Conference on Systems, Man and Cybernetics. Intelligent Systems for the 21st Century.

Performance Evaluation of a Distributed Genetic Algorithm with Cellular Structures on Function Optimization Problems

Tadahiko Murata, Kenji Takada, T. Murata, 2004, KES.

Performance evaluation of memetic EMO algorithms using dominance relation-based replacement rules on MOO test problems

Hisao Ishibuchi, Tadahiko Murata, Shiori Kaige, 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).

Generalization of Dominance Relation-Based Replacement Rules for Memetic EMO Algorithms

Hisao Ishibuchi, Tadahiko Murata, Shiori Kaige, 2003, GECCO.

Modification of Local Search Directions for Non-dominated Solutions in CellularMultiobjective Genetic Algorithms forPattern Classification Problems

Mitsuo Gen, Hisao Ishibuchi, Tadahiko Murata, 2003, EMO.

Selection of initial solutions for local search in multiobjective genetic local search

Hisao Ishibuchi, T. Murata, T. Yoshida, 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

Effect of local search on the performance of cellular multiobjective genetic algorithms for designing fuzzy rule-based classification systems

Mitsuo Gen, Hisao Ishibuchi, Tadahiko Murata, 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

Cellular Genetic Local Search for Multi-Objective Optimization

Mitsuo Gen, Hisao Ishibuchi, Tadahiko Murata, 2000, GECCO.

A multi-objective genetic local search algorithm and its application to flowshop scheduling

Hisao Ishibuchi, Tadahiko Murata, H. Ishibuchi, 1998, IEEE Trans. Syst. Man Cybern. Part C.

Multi-objective genetic local search algorithm

Hisao Ishibuchi, Tadahiko Murata, H. Ishibuchi, 1996, Proceedings of IEEE International Conference on Evolutionary Computation.

Flowshop Scheduling by Genetic Algorithm and Its Application to Multi-Objective Problems

Hideo Tanaka, Hisao Ishibuchi, Tadahiko Murata, 1995 .

IEEE TRANSACTIONS ® ON SYSTEMS, MAN, AND CYBERNETICS Editor-in-Chief

P. Borne, Eugene Santos, Vice President, 2009 .

Performance evaluation of genetic algorithms for flowshop scheduling problems

Hisao Ishibuchi, Tadahiko Murata, H. Ishibuchi, 1994, Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence.

Fuzzy Partition and Input Selection by Genetic Algorithms for Designing Fuzzy Rule-Based Classification Systems

Mitsuo Gen, Hisao Ishibuchi, Tomoharu Nakashima, 1998, Evolutionary Programming.

A Fuzzy Classifier System That Generates Linguistic Rules for Pattern Classification Problems

Hisao Ishibuchi, Tomoharu Nakashima, Tadahiko Murata, 1995, IEEE/Nagoya-University World Wisepersons Workshop.

Genetic algorithms for flowshop scheduling problems

Hideo Tanaka, Hisao Ishibuchi, Tadahiko Murata, 1996 .

A generic niching framework for variable mesh optimization

Tadahiko Murata, Rafael Falcon, Chyon Hae Kim, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

Balance Between Genetic Search And Local Search In Hybrid Evolutionary Multi-criterion Optimization Algorithms

Hisao Ishibuchi, Tadahiko Murata, Tadashi Yoshida, 2002, GECCO.

Formulation of Multi-Objective Fuzzy Scheduling Problems with Job Importance Grades

Mitsuo Gen, Hisao Ishibuchi, Tadahiko Murata, 1999 .

Genetic-algorithm-based approaches to the design of fuzzy systems for multi-dimensional pattern classification problems

Hisao Ishibuchi, Tomoharu Nakashima, Tadahiko Murata, 1996, Proceedings of IEEE International Conference on Evolutionary Computation.

Performance Evaluation of Genetic Operations for Flowshop Scheduling

Hisao Ishibuchi, Tadahiko Murata, H. Ishibuchi, 1996 .

Genetic algorithms and neighborhood search algorithms for fuzzy flowshop scheduling problems

Hideo Tanaka, Hisao Ishibuchi, Tadahiko Murata, 1994 .

Survey-based hospital closure estimation using agent-based simulation

Tadahiko Murata, Goichi Morimoto, Shintaro Tokura, 2011, 2011 IEEE International Conference on Systems, Man, and Cybernetics.

Estimating the Effect of COVID-19 Contact Tracing Application Using Agent-Based Simulation

Tadahiko Murata, Kanta Yamashita, T. Murata, 2021, 2021 5th IEEE International Conference on Cybernetics (CYBCONF).

Simulating a Transition Process to Generation-based Funding Scheme in Public Pension Planning

Tadahiko Murata, Hiroyuki Tamura, Daisuke Banjo, 2007, 2007 IEEE International Conference on Systems, Man and Cybernetics.

On Planning a Public Pension System under Uncertainty: A Generation-based Operation Model

T. Murata, H. Tamura, T. Murata, 2006, 2006 3rd International IEEE Conference Intelligent Systems.

Positive and negative combination effects of crossover and mutation operators in sequencing problems

Tadahiko MURATA, Hisao ISHIBUCHI, H. Ishibuchi, 1996, Proceedings of IEEE International Conference on Evolutionary Computation.

Examination of the performance of objective reduction using correlation-based weighted-sum for many objective knapsack problems

Tadahiko Murata, Akinori Taki, T. Murata, 2010, 2010 10th International Conference on Hybrid Intelligent Systems.

Multi-Legged Robot Control Using GA-Based Q-Learning Method With Neighboring Crossover

Tadahiko Murata, Masatoshi Yamaguchi, T. Murata, 2008 .

Formulation of fuzzy flowshop scheduling problems with fuzzy processing time

H. Ishibuchi, T. Murata, T. Murata, 1996, Proceedings of IEEE 5th International Fuzzy Systems.

Formulation of Multi-Objective Scheduling Problems Using Fuzzy Due-Date

Hisao Ishibuchi, Tadahiko Murata, Kyu-Hung Lee, 1997 .

Multi-Start NodeGenetic Network Programming forControlling Multiple Agents

Tadahiko Murata, T. Murata, 2006 .

Developing Cooperation of Multiple Agents Using Genetic Network Programming with Automatically Defined Groups

Tadahiko Murata, Takashi Nakamura, T. Murata, 2004 .

Multi-Start Node Genetic Network Programming for Controlling Multiple Agents

Tadahiko Murata, Takashi Nakamura, T. Murata, 2006, 2006 IEEE International Conference on Systems, Man and Cybernetics.

Using Genetic Network Programming to Get Comprehensible Control Rules for Real Robots

Tadahiko Murata, Daisuke Okada, T. Murata, 2006, 2006 IEEE International Conference on Evolutionary Computation.

Genetic network programming with automatically defined groups for assigning proper roles to multiple agents

Tadahiko Murata, Takashi Nakamura, T. Murata, 2005, GECCO '05.

Study on Signals in Market with Asymmetric Information Using Agent-Based Simulation

T. Murata, Nisuo Du, 2014 .

A fuzzy classifier system that generates fuzzy if-then rules for pattern classification problems

H. Ishibuchi, T. Nakashima, T. Murata, 1995, Proceedings of 1995 IEEE International Conference on Evolutionary Computation.

Ensuring Reproducible Simulations on Heterogeneous Computing Environments for Social Simulation

Tadahiko Murata, Takuya Harada, T. Murata, 2018 .

A Microsimulation Tool for Airport Selection using Public Data on the Web

T. Murata, Naoki Kasatani, 2014, Rev. Socionetwork Strateg..

Two-Fold Optimization by Evolutionary Computation and Simulated Annealing for Reconstructing Citizens' Attributes from Statistics

Tadahiko Murata, Daiki Masui, T. Murata, 2017 .