Alex S. Fukunaga

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Automatically Extracting Axioms in Classical Planning

Shuwa Miura, Alex S. Fukunaga, 2017, AAAI.

Portfolios of Genetic Algorithms

Alex S. Fukunaga, 1999, GECCO.

Massively parallel evolution of SAT heuristics

Alex S. Fukunaga, A. Fukunaga, 2009, 2009 IEEE Congress on Evolutionary Computation.

Reevaluating Exponential Crossover in Differential Evolution

Alex S. Fukunaga, Ryoji Tanabe, A. Fukunaga, 2014, PPSN.

Improving the search performance of SHADE using linear population size reduction

Alex S. Fukunaga, Ryoji Tanabe, A. Fukunaga, 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).

Bin-Completion Algorithms for Multicontainer Packing and Covering Problems

Richard E. Korf, Alex S. Fukunaga, R. Korf, 2005, IJCAI.

An evolutionary optimization system for spacecraft design

Alex S. Fukunaga, Andre D. Stechert, 1997 .

Staff Scheduling for Inbound Call and Customer Contact Centers

Illah R. Nourbakhsh, Alex S. Fukunaga, David Andre, 2002, AI Mag..

Exploration among and within Plateaus in Greedy Best-First Search

Alex S. Fukunaga, Masataro Asai, A. Fukunaga, 2017, ICAPS.

Iterative Resource Allocation for Memory Intensive Parallel Search Algorithms on Clouds, Grids, and Shared Clusters

Akihiro Kishimoto, Adi Botea, Alex S. Fukunaga, 2012, AAAI.

On the Pathological Search Behavior of Distributed Greedy Best-First Search

Alex S. Fukunaga, Ryo Kuroiwa, 2019, ICAPS.

Optimization of oil reservoir models using tuned evolutionary algorithms and adaptive differential evolution

Alex S. Fukunaga, Ryoji Tanabe, Claus Aranha, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

Automated discovery of composite SAT variable-selection heuristics

Alex S. Fukunaga, A. Fukunaga, 2002, AAAI/IAAI.

Breathing circuits with unconventional breath cables and systems and methods for optimizing the use of fresh gases

Alex S. Fukunaga, Atsuo F. Fukunaga, Blanca M. Palos Verdes Peninsula Fukunaga, 2002 .

How Far Are We from an Optimal, Adaptive DE?

Alex S. Fukunaga, Ryoji Tanabe, A. Fukunaga, 2016, PPSN.

A Case Study on the Importance of Low-Level Algorithmic Details in Domain-Independent Heuristics

Alex S. Fukunaga, Ryo Kuroiwa, 2019, SOCS.

An Improved Search Algorithm for Min-Perturbation

Alex S. Fukunaga, 2013, CP.

Automatic detection of dust devils and clouds on Mars

Alex S. Fukunaga, Mark T. Lemmon, Jeffrey J. Biesiadecki, 2008, Machine Vision and Applications.

Cooperative Mobile Robotics: Antecedents and Directions

Andrew B. Kahng, Alex S. Fukunaga, Y. Uny Cao, 1997, Auton. Robots.

Scalable, Parallel Best-First Search for Optimal Sequential Planning

Akihiro Kishimoto, Adi Botea, Alex S. Fukunaga, 2009, ICAPS.

A Survey of Parallel A pdf

Akihiro Kishimoto, Adi Botea, Alex S. Fukunaga, 2017, ArXiv.

Functions as objects in a data flow based visual language

Alex S. Fukunaga, Wolfgang Pree, Takayuki Dan Kimura, 1993, CSC '93.

Search Spaces for Min-Perturbation Repair

Alex S. Fukunaga, 2009, CP.

Tie-Breaking Strategies for Cost-Optimal Best First Search

Alex S. Fukunaga, Masataro Asai, 2017, J. Artif. Intell. Res..

Autonomous Detection of Dust Devils and Clouds on Mars

Alex S. Fukunaga, Mark T. Lemmon, Jeffrey J. Biesiadecki, 2006, 2006 International Conference on Image Processing.

A Practical, Integer-Linear Programming Model for the Delete-Relaxation in Cost-Optimal Planning

Alex S. Fukunaga, Tatsuya Imai, 2014, ECAI.

Bin Completion Algorithms for Multicontainer Packing, Knapsack, and Covering Problems pdf

Richard E. Korf, Alex S. Fukunaga, R. Korf, 2011, J. Artif. Intell. Res..

Solving Large-Scale Planning Problems by Decomposition and Macro Generation

Alex S. Fukunaga, Masataro Asai, A. Fukunaga, 2015, ICAPS.

Tuning differential evolution for cheap, medium, and expensive computational budgets

Alex S. Fukunaga, Ryoji Tanabe, A. Fukunaga, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

Tiebreaking Strategies for A* Search: How to Explore the Final Frontier

Alex S. Fukunaga, Masataro Asai, 2016, AAAI.

Staff scheduling for inbound call centers and customer contact centers

Illah R. Nourbakhsh, Alex S. Fukunaga, David Andre, 2002, AAAI/IAAI.

Integrating Symmetry, Dominance, and Bound-and-Bound in a Multiple Knapsack Solver

Alex S. Fukunaga, A. Fukunaga, 2008, CPAIOR.

TPAM: a simulation-based model for quantitatively analyzing parameter adaptation methods

Alex S. Fukunaga, Ryoji Tanabe, A. Fukunaga, 2017, GECCO.

Analyzing and Avoiding Pathological Behavior in Parallel Best-First Search

Alex S. Fukunaga, Ryo Kuroiwa, 2020, ICAPS.

On a Practical, Integer-Linear Programming Model for Delete-Free Tasks and its Use as a Heuristic for Cost-Optimal Planning

Alex S. Fukunaga, Tatsuya Imai, 2015, J. Artif. Intell. Res..

Axioms in Model-based Planners pdf

Shuwa Miura, Alex S. Fukunaga, 2017, ArXiv.

Iterative Resource Allocation for Memory Intensive Parallel Search Algorithms (Extended Abstract)

Akihiro Kishimoto, Adi Botea, Alex S. Fukunaga, 2012, SOCS.

Classical Planning in Deep Latent Space: Bridging the Subsymbolic-Symbolic Boundary

Alex S. Fukunaga, Masataro Asai, A. Fukunaga, 2017, AAAI.

Combining multiple representations in a genetic algorithm for the multiple knapsack problem

Alex S. Fukunaga, Satoshi Tazoe, 2009, 2009 IEEE Congress on Evolutionary Computation.

Distributed island-model genetic algorithms using heterogeneous parameter settings

Alex S. Fukunaga, Yiyuan Gong, A. Fukunaga, 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).

Restart Scheduling for Genetic Algorithms

Alex S. Fukunaga, A. Fukunaga, 1998, PPSN.

Evaluating the performance of SHADE on CEC 2013 benchmark problems

Alex S. Fukunaga, Ryoji Tanabe, A. Fukunaga, 2013, 2013 IEEE Congress on Evolutionary Computation.

On the pathological behavior of adaptive differential evolution on hybrid objective functions

Alex S. Fukunaga, Ryoji Tanabe, 2014, GECCO.

Automated Creation of Efficient Work Distribution Functions for Parallel Best-First Search

Alex S. Fukunaga, Yuu Jinnai, A. Fukunaga, 2016, ICAPS.

Revisiting Immediate Duplicate Detection in External Memory Search

Alex S. Fukunaga, Shunji Lin, 2018, AAAI.

Classical Planning in Deep Latent Space: From Unlabeled Images to PDDL (and back)

Alex S. Fukunaga, Masataro Asai, 2017, NeSy.

Variable-Selection Heuristics in Local Search for SAT

Alex S. Fukunaga, A. Fukunaga, 1997, AAAI/IAAI.

Success-history based parameter adaptation for Differential Evolution

Alex S. Fukunaga, Ryoji Tanabe, A. Fukunaga, 2013, 2013 IEEE Congress on Evolutionary Computation.

Block-Parallel IDA* for GPUs (Extended Manuscript) pdf

Alex S. Fukunaga, Satoru Horie, 2017, ArXiv.

Block-Parallel IDA* for GPUs

Alex S. Fukunaga, Satoru Horie, 2017, SOCS.

Front-to-Front Heuristic Search for Satisficing Classical Planning

Alex S. Fukunaga, Ryo Kuroiwa, 2020, IJCAI.

Improving Greedy Best-First Search by Removing Unintended Search Bias (Extended Abstract)

Alex S. Fukunaga, Masataro Asai, 2017, AAAI.

Fault tolerance in distributed genetic algorithms with tree topologies

Alex S. Fukunaga, Yiyuan Gong, A. Fukunaga, 2009, 2009 IEEE Congress on Evolutionary Computation.

Automatic Extraction of Axioms for Planning

Shuwa Miura, Alex S. Fukunaga, A. Fukunaga, 2017, ICAPS.

Abstracts of Papers Presented at SoCS 2017 in the Previously Published Paper Track

Akihiro Kishimoto, Alex S. Fukunaga, 2017, SOCS.

A new grouping genetic algorithm for the Multiple Knapsack Problem

Alex S. Fukunaga, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Object-oriented development of a data flow visual language system

Alex S. Fukunaga, Wolfgang Pree, Takayuki Dan Kimura, 1993, Proceedings 1993 IEEE Symposium on Visual Languages.

Batch Random Walk for GPU-Based Classical Planning

Alex S. Fukunaga, Ryo Kuroiwa, 2018, ICAPS.

Parallel A* for State-Space Search

Akihiro Kishimoto, Adi Botea, Alex S. Fukunaga, 2018, Handbook of Parallel Constraint Reasoning.

On Hash-Based Work Distribution Methods for Parallel Best-First Search pdf

Alex S. Fukunaga, Yuu Jinnai, A. Fukunaga, 2017, J. Artif. Intell. Res..

Integration of Planning with Plan Recognition Using Classical Planners (Extended Abstract)

Alex S. Fukunaga, Richard G. Freedman, 2015, AAAI Fall Symposia.

Efficient Implementations of SAT Local Search

Alex S. Fukunaga, 2004, SAT.

On Transposition Tables for Single-Agent Search and Planning: Summary of Results

Akihiro Kishimoto, Alex S. Fukunaga, Yuima Akagi, 2010, SOCS.

Further experience with controller-based automatic motion synthesis for articulated figures

Alex S. Fukunaga, Joe Marks, Andrew Shuman, 1995, TOGS.

Evaluation of a randomized parameter setting strategy for island-model evolutionary algorithms

Alex S. Fukunaga, Ryoji Tanabe, 2013, 2013 IEEE Congress on Evolutionary Computation.

On the Scaling Behavior of HDA

Akihiro Kishimoto, Adi Botea, Alex S. Fukunaga, 2010, SOCS.

Evaluation of a simple, scalable, parallel best-first search strategy pdf

Akihiro Kishimoto, Adi Botea, Alex S. Fukunaga, 2013, Artif. Intell..

Cooperative Mobile Robotics: Antecedents and Directions

Andrew B. Kahng, Alex S. Fukunaga, Y. Uny Cao, 1995, Proceedings 1995 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human Robot Interaction and Cooperative Robots.

Learning to Prune Dominated Action Sequences in Online Black-Box Planning

Alex S. Fukunaga, Yuu Jinnai, 2017, AAAI.

Abstract Zobrist Hashing: An Efficient Work Distribution Method for Parallel Best-First Search

Alex S. Fukunaga, Yuu Jinnai, A. Fukunaga, 2016, AAAI.

Evolvable Hardware for Space Applications

Alex S. Fukunaga, Adrian Stoica, Carlos Salazar-Lazaro, 1998, ICES.

Automated Discovery of Local Search Heuristics for Satisfiability Testing

Alex S. Fukunaga, A. Fukunaga, 2008, Evolutionary Computation.

A branch-and-bound algorithm for hard multiple knapsack problems

Alex S. Fukunaga, A. Fukunaga, 2011, Ann. Oper. Res..

Learning to Avoid Dominated Action Sequences in Planning for Black-Box Domains

Alex S. Fukunaga, Yuu Jinnai, 2017, AAAI.

Evolving controllers for high-level applications on a service robot: a case study with exhibition visitor flow control

Hitoshi Iba, Alex S. Fukunaga, Kazuki Komiya, 2012, Genetic Programming and Evolvable Machines.

Evolving Local Search Heuristics for SAT Using Genetic Programming

Alex S. Fukunaga, A. Fukunaga, 2004, GECCO.

Fully Automated Cyclic Planning for Large-Scale Manufacturing Domains

Alex S. Fukunaga, Masataro Asai, A. Fukunaga, 2014, ICAPS.

Evolving an effective robot tour guide

Hitoshi Iba, Alex S. Fukunaga, Kazuki Komiya, 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).

Visualizing fitnesses and constraint violations in single-objective optimization

Alex S. Fukunaga, Tomofumi Kitamura, 2021, GECCO Companion.