ISHIBUCHI Hisao

J-GLOBAL         Last updated: Feb 24, 2017 at 00:01
 
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Name
ISHIBUCHI Hisao
Affiliation
Osaka Prefecture University
Section
Graduate School of Engineering, Computational Intelligence Lab.
Job title
Professor
Degree
(BLANK), (BLANK)

Research Areas

 
 

Academic & Professional Experience

 
Apr 2017
 - 
Today
Chair Professor, Southern University of Science and Technology
 
Apr 1999
 - 
Today
Osaka Prefecture University
 

Education

 
 
 - 
1987
Graduate School, Division of Engineering, Kyoto University
 
 
 - 
1985
Faculty of Engineering, Kyoto University
 

Committee Memberships

 
2007
 - 
Today
IEEE Transactions on Evolutionary Computation, Associate Editor (2007-Present)
 
2007
 - 
Today
Soft Computing Journal, Area Editor (2007-Present)
 
2007
 - 
Today
International Journal of Metaheuristics, Associate Editor (2007-Present)
 
2005
 - 
Today
IEEE Computational Intelligence Magazine, Associate Editor (2005-Present)
 
2004
 - 
Today
IEEE Transactions on Fuzzy Systems, Associate Editor (2004-Present)
 
2002
 - 
Today
IEEE Transactions on Systems, Man, and Cybernetics Part B, Associate Editor (2002-Present)
 
2010
   
 
IEEE Congress on Evolutionary Computation, Program Chair (2010)
 
2008
   
 
IEEE Computational Intelligence Society, Fuzzy Systems Technical Committee Chair (2008)
 
2008
   
 
IEEE Computational Intelligence Society, Awards Committee Member (2008)
 
2008
   
 
IEEE Computational Intelligence Society, Nomination Committee Member (2008)
 
2007
   
 
International Conference on Evolutionary Multi-Criterion Optimization, Program Co-Chair (2007)
 
2007
   
 
IEEE Computational Intelligence Society, Fuzzy Systems Technical Committee Vice-Chair (2007)
 
2006
   
 
IEEE International Conference on Fuzzy Systems, Technical Co-Chair (2006)
 

Awards & Honors

 
2015
Best Regular Paper Award, ACIIDS 2015
 
2011
Best Paper award, FUZZ-IEEE 2011
 
2010
Best Paper Award, WAC 2010
 
2010
Best Paper Award, SCIS & ISIS 2010
 
2009
FUZZ-IEEE 2009 Best Paper Award
 

Published Papers

 
Enhanced knowledge-leverage-based TSK fuzzy system modeling for inductive transfer learning
Z. Deng, Y. Jiang, H. Ishibuchi, K.-S. Choi, and S. Wang
ACM Transactions on Intelligent Systems and Technology   8(1)    Oct 2016   [Refereed]
Z. Deng, Y. Jiang, F.-L. Chung, H. Ishibuchi, K.-S. Choi, and S. Wang
IEEE Trans. on Fuzzy Systems   24(5) 1210-1232   Oct 2016   [Refereed]
H. Ishibuchi, H. Masuda, and Y. Nojima
IEEE Trans. on Evolutionary Computation   20(5) 807-813   Oct 2016   [Refereed]
K. Narukawa,Y. Setoguchi, Y. Tanigaki, M. Olhofer, B. Sendhoff, and H. Ishibuchi
Soft Computing   20(7) 2733-2757   Jul 2016   [Refereed]
H. Ishibuchi, T. Sudo, and Y. Nojima
SpringerPlus   5(192) 1-29   Feb 2016   [Refereed]

Misc

 
The Analysis of Interval 0-1 Problem by Multi-Objective Programming(jointly worked)
H. Ishibuchi and H. Tanaka
Proceedings of IIZUKA'88   159-160    1988

Books etc

 
Computational Intelligence
Hisao Ishibuchi (Part:Editor)
UNESCO-EOLSS   Dec 2015   
Possibilistic Regression Analysis Based on Linear Programming(jointly worked), in "Fuzzy Regression Analysis" edited by J. Kacprzyk and M. Fedrizzi
Omnitech Press   1992   
Fuzzy Inference System Based on Routh Sets and Its Application to Medical Diagnosis(jointly worked), in "Intelligent Decision Support" edited by R. Slowinski
Kluwer Academic Publishers   1992   
Approximate Pattern Classification Using Neural Networks (jointly worked), in "Fuzzy Logic : State of the Art" edited by R. Lowen and M. Roubens
Kluwer Academic Publishers   1993   
Simulated Annealing with Modified Generation Mechanism for Flow Shop Scheduling Problems (jointly worked)
T. Takamori and K. Tsuchiya (eds.): Robotics, Mechatronics and Manufacturing Systems, North-Holland   1993   
Fuzzy Flow Shop Scheduling by Simulated Annealing (jointly worked) in Fuzzy Optimization
Physica-Verlag   1994   
Development of Fuzzy Neural Networks in Fuzzy Modelling : Paradigms and Practice
Kluwer Academic Publishers   1996   
Construction of Fuzzy Classification Systems with Linguistic If-Then Rules Using Genetic Algorithms(jointly worked)in Genetic Algorithms for Pattern Recognition
CRC Press   1996   
A Genetic-Algorithm-Based Fuzzy Partition Method for Pattern ClassificationProblems(jointly worked)in Genetic Algorithm and Soft Computing
Physica-Verlag   1996   
A Fuzzy Classifier System That Generates Linguistic Rules for Classification Problems(jointly worked)in Fuzzy Logic, Neural Networks, and Evolutionary Computation
Springer-Verlag   1996   
A fuzzy classifier system that generates linguistic rules for pattern classification(jointly worked)
Lecture Notes in Artificial Intelligence 1152: Fuzzy Logic, Neural Networks, and Evolutionary Computation, Springer, Berlin   1996   
Genetic-Algorithm-Based Approaches to Classification Problems(jointly worked)in Fuzzy Evolutionary Computation
Kluwer Academic Publishers   1997   
Fuzzy Neural Networks Techniques and Their Applications(jointly worked)in Fuzzy Logic and Expert Systems Applications
Academic Press   1998   
Fuzzy partition and input selection by genetic algorithms for designing fuzzy rule-based classification systems (jointly worked), Lecture Notes in Computer Science 1447: Evolutionary Programming VII (7th International Conference on EP98, Sandiego, Cali・・・
Springer, Berlin   1998   
Fuzzy partition and input selection by genetic algorithms for designing fuzzy rule-based classification systems (jointly worked), Lecture Notes in Computer Science 1447: Evolutionary Programming VII (7th International Conference on EP98, Sandiego,...
Techniques and Applications of Genetic Algorithm-Based Methods for Designing Compact Fuzzy Classificaton Systems(jointly worked)in Fuzzy Theory Systems : Techniques and Applications
Academic Press   1999   
Techniques and Applications of Neural Networks for Fuzzy Rule Approximation(jointly worked)in Fuzzy Theory Systems : Techniques and Applications
Academic Press   1999   
Evolution of reference sets in nearest neighbor classification(jointly worked)in Simulated Evolution and Learning
Springer   1999   
Learning from linguistic rule and rule extraction for function approximation by neural networdks(jointly worked)in Simulated Evolution and Learning
Springer   1999   
Learning from linguistic rules and rule extraction for function approximation by neural networks(jointly worked)
Lecture Notes in Artificial Intelligence 1585: Simulated Evolution and Learning, Springer, Berlin   1999   
Flowshop Scheduling with Fuzzy Duedate and Fuzzy Processing Time(jointly worked)in Scheduling Under Fuzziness
Physica-Verlag   2000   
Fuzzy If-Then Rules for Pattern Classification(jointly worked)in Fuzzy If-Then Rules in Computational Intelligence : Theory and Applications
Kluwer Academic Publishers   2000   
Genetic-Algorithm-Based Instance and Feature Selection(jointly worked)in Instance Selection and Construction for Data Mining
Kluwer Academic Publishers   2001   
Minimizing the Measurement Cost in the Classification of New Samples by Neural-Network-Based Classifiers(jointly worked)in Pattern Recognition in Soft Computing Paradigm
World Scientific Publishers   2001   
Fuzzy Rule-Based Strategy for a Market Selection Game(jointly worked)in Computational Intelligence in Games
Physica-Verlag   2001   
Approaches to the Design of Classification Systems from Numerical Data and Linguistic Knowledge(jointly worked)in A New Paradigm of Knowledge Engineering by Soft Computing
World Scientific Publishers   2001   
Specification of genetic search directions in cellular multi-objective genetic algorithm
in Evolutionary Multi-Criterion Optimization, Springer-Verlag   2001   
Multiobjective optimization in linguistic rule extraction from numerical data
in Evolutionary Multi-Criterion Optimization, Springer-Verlag   2001   
Fuzzification of Neural Networks for Classification Problems(jointly worked)in H. Bunke and A. Kandel (eds.) Hybrid Methods in Pattern Recognition
World Scientific Publishers   2002   
Online Adaptation of Intelligent Decision-Making Systems(jointly worked)
Intelligent Systems: Technology and Applications, Volume 1, CRC Press. Boca Raton   2002   
Comparison of Fuzzy Rule Selection Criteria for Classification Problems(jointly worked)
Soft Computing Systems: Design, Management and Applications (Frontiers in Artificial Intelligence and Applications, Volume 87)   2002   
Hybrid Evolutionary Multi-Objective Optimization Algorithms
Soft Computing Systems: Design, Management and Applications: (Frontiers in Artificial Intelligence and Applications, Volume 87)   2002   
Trade-off between the Number of Fuzzy Rules and Their Classification Performance(jointly worked)
Accuracy Improvements in Linguistic Fuzzy Modeling   2003   
A Simple but Powerful Multiobjective Hybrid Genetic Algorithms(jointly worked)
in Design and Application of Hybrid Intelligent Systems (Frontiers in Artificial Intelligence and Applications   2003   
An Empirical Study on the Effect of Mating Restriction on the Search Ability of EMO Algorithms(jointly worked)
Lecture Note in Computer Science, Vol. 2632, Evolutionary Multi-Criterion Optimization (Springer, Berlin)   2003   
Modification of Local Search Directions for Non-dominated Solutions in Cellular Multiobjective Genetic Algorithms for Pattern Classification Problems(jointly worked)
Lecture Note in Computer Science, Vol. 2632, Evolutionary Multi-Criterion Optimization (Springer, Berlin)   2003   
Effects of Three-Objective Genetic Rule Selection on the Generalization Ability of Fuzzy Rule-Based Systems(jointly worked)
Lecture Note in Computer Science, Vol. 2632, Evolutionary Multi-Criterion Optimization (Springer, Berlin)   2003   
A Similarity-Based Mating Scheme for Evolutionary Multiobjective Optimization(jointly worked)
Lecture Note in Computer Science, Vol. 2723, Genetic and Evolutionary Computation – GECCO 2003 (Springer, Berlin)   2003   
Evolutionary Multiobjective Optimization for Generating an Ensemble of Fuzzy Rule-Based Classifiers(jointly worked)
Lecture Note in Computer Science, Vol. 2723, Genetic and Evolutionary Computation – GECCO 2003 (Springer, Berlin)   2003   
Generalization of Dominance Relation-Based Replacement Rules for Memetic EMO Algorithms(jointly worked)
Lecture Note in Computer Science, Vol. 2723, Genetic and Evolutionary Computation – GECCO 2003 (Springer, Berlin)   2003   
A Fuzzy Reinforcement Learning for a Ball Interception Problem (jointly worked)
Lecture Notes in Artificial Intelligence 3020: RoboCup 2003: Robot Soccer World Cup VII, Springer, Berlin   2003   
Interpretability issues in fuzzy genetic-based machine learning for linguistic modelling(jointly worked)
in Modelling with Words, Springer-Verlag   2003   
Local Search Direction for Multi-Objective Optimization Using Memetic EMO Algorithms (jointly worked), in Y. Jin (ed.): Knowledge Incorporation in Evolutionary Computation (Studies in Fuzziness and Soft Computing, Volume 167)
Springer-Verlag, Heidelberg   2004   
Classification and Modeling with Linguistic Information Granules: Advanced Approaches to Linguistic Data Mining (jointly worked)
Springer, Berlin   2004   
Single-Objective and Multi-Objective Evolutionary Flowshop Scheduling (jointly worked), in C. A. Coello Coello and G. B. Lamont (eds.): Applications of Multi-Objective Evolutionary Algorithms
World Scientific, Singapore   2004   
Some issues on the implementation of local search in evolutionary multiobjective optimization(jointly worked)
in Genetic and Evolutionary Computation - GECCO 2004, Springer-Verlag   2004   
Mating scheme for controlling the diversity-convergence balance for multiobjective optimization(jointly worked)
in Genetic and Evolutionary Computation - GECCO 2004, Springer-Verlag   2004   
A study on weighting training patterns for fuzzy rule-based classification systems(jointly worked)
in Modeling Decisions for Artificial Intelligence, Springer-Verlag   2004   
Evolutionary multiobjective knowledge extraction for high-dimensional pattern classification problems(jointly worked)
in Parallel Problem Solving from Nature - PPSN VIII, Springer-Verlag   2004   
Recombination of Similar Parents in EMO Algorithms (jointly worked)
Lecture Notes in Computer Science 3410: Evolutionary Multi-Criterion Optimization - EMO 2005, Springer, Berlin   2005   
Effects of Removing Overlapping Solutions on the Performance of the NSGA-II Algorithm (jointly worked)
Lecture Notes in Computer Science 3410: Evolutionary Multi-Criterion Optimization - EMO 2005, Springer, Berlin   2005   
Comparison between Lamarckian and Baldwinian Repair on Multiobjective 0/1 Knapsack Problems (jointly worked)
Lecture Notes in Computer Science 3410: Evolutionary Multi-Criterion Optimization - EMO 2005, Springer, Berlin   2005   
Multi-Objective Machine Learning(jointly worked) Part:Fuzzy Ensemble Design through Multiobjective Fuzzy Rule Selection
Springer, Berlin   2006   
Computational Intelligence: Principles and Practice(jointly worked) Part:Computational Intelligence in RoboCup Soccer Simulation
IEEE Computational Intelligence Society   2006   
Performance evaluation of an evolutionary method for RoboCup soccer strategies
Lecture Notes in Computer Science 4020: RoboCup 2005: Robot Soccer World Cup IX, Springer, Berlin   2006   
Incorporation of scalarizing fitness functions into evolutionary multiobjective optimization algorithms
Lecture Notes in Computer Science 4193: Parallel Problem Solving from Nature - PPSN IX, Springer, Berlin   2006   
Effects of using two neighborhood structures in cellular genetic algorithms for function optimization
Lecture Notes in Computer Science 4193: Parallel Problem Solving from Nature - PPSN IX, Springer, Berlin   2006   
Finding simple fuzzy classification systems with high interpretability through multiobjective rule selection
Lecture Notes in Computer Science 4252: Knowledge-Based Intelligent Information and Engineering Systems - KES 2006, Springer, Berlin   2006   
Analysis and Design of Intelligent Systems using Soft Computing Techniques (Advances in Soft Computing 41)(jointly worked) Part:Use of Pareto-Optimal and Near Pareto-Optimal Candidate Rules in Genetic Fuzzy Rule Selection
Springer, Berlin   2007   
Fuzzy Sets and Their Extensions: Representation, Aggregation and Models. Intelligent Systems from Decision Making to Data Mining, Web Intelligence and Computer Vision(jointly worked) Part:Pattern Classification with Linguistic Rules
Springer, Berlin   2007   
Hybrid Evolutionary Algorithms(edited)
Springer, Berlin   2007   
Optimization of scalarizing functions through evolutionary multiobjective optimization
Lecture Notes in Computer Science 4403: Evolutionary Multi-Criterion Optimization - EMO 2007, Springer, Berlin   2007   
Prescreening of candidate rules using association rule mining and Pareto-optimality in genetic rule selection
Lecture Notes in Computer Science 4693: Knowledge-Based Intelligent Information and Engineering Systems - KES 2007, Springer, Berlin   2007   
Multi-Objective Problem Solving from Nature: From Concepts to Applications(jointly worked) Part:Multiobjective Classification Rule Mining
Springer, Berlin   2008   
Multi-objective Evolutionary Algorithms for Knowledge Discovery from Databases(jointly worked) Part:Evolutionary Multiobjective Rule Selection for Classification Rule Mining
Springer, Berlin   2008   
Computational Intelligence: A Compendium(jointly worked) Part:Evolutionary Multiobjective Design of Fuzzy Rule-based Classifiers
Springer, Berlin   2008   
Examining the effect of elitism in cellular genetic algorithms using two neighborhood structures
Lecture Notes in Computer Science 5199: Parallel Problem Solving from Nature - PPSN X, Springer, Berlin   2008   
Use of heuristic local search for single-objective optimization in multiobjective memetic algorithms
Lecture Notes in Computer Science 5199: Parallel Problem Solving from Nature - PPSN X, Springer, Berlin   2008   
Effects of diversity measures on the design of ensemble classifiers by multiobjective genetic fuzzy rule selection with a multi-classifier coding scheme
Lecture Notes in Artificial Intelligence 5271: Hybrid Artificial Intelligence Systems - HAIS 2008, Springer, Berlin   2008   
Parallel approaches for multiobjective optimization
Lecture Notes in Artificial Intelligence 5252: Multiobjective Optimization: Interactive and Evolutionary Approaches, Springer, Berlin   2008   
Use of local ranking in cellular genetic algorithms with two neighborhood structures
Lecture Notes in Computer Science 5361: Simulated Evolution and Learning, Springer, Berlin   2008   
Multi-Objective Memetic Algorithms(jointly worked) Part:Implementation of Multiobjective Memetic Algorithms for Combinatorial Optimization Problems: A Knapsack Problem Case Study
Springer, Berlin   2009   
Computational Intelligence: Collaboration, Fusion and Emergence(jointly worked) Part:Multiobjective Genetic Fuzzy Systems
Springer, Berlin   2009   
Adaptation of scalarizing functions in MOEA/D: An adaptive scalarizing function-based multiobjective evolutionary algorithm
Lecture Notes in Computer Science 5467: Evolutionary Multi-Criterion Optimization - EMO 2009, Springer, Berlin   2009   
Multiobjective Memetic Algorithms in F. Neri, C. Cotta, and P. Moscato (eds.): Handbook of Memetic Algorithms, Springer, Berlin, 2011, pp. 201-217 (Chapter 13)
A. Jaszkiewicz, H. Ishibuchi, and Q. Zhang
Parallel Distributed Genetic Rule Selection for Data Mining from Large Data Sets, in F. Kojima, F. Kobayashi, and H. Nakamoto (eds.) Simulation and Modeling Related to Computational Science and Robotics Technology, IOS Press, Amsterdam, pp. 140-154, 2012.
Y. Nojima, S. Mihara, and H. Ishibuchi
Multiobjective Genetic Fuzzy Systems, in J. Kacprzyk and W. Pedrycz (eds) Springer Handbook of Computational Intelligence, Springer-Verlag Berlin Heidelberg, pp. 1479-1498 (Chapter 77)
H. Ishibuchi and Y. Nojima

Conference Activities & Talks

 
Several formulations of interval regression analysis
Sino-Japan Joint Meeting on Fuzzy Sets and Systems   1990   
Reduction of information systems based on rough sets and its application to fuzzy expert systems
Sino-Japan Joint Meeting on Fuzzy Sets and Systems   1990   
Learning algorithm of neural networks for interval-valued data
4th IFSA Congress, Part of Artificial Intelligence   1991   
Possibility and necessity data analysis using neural networks
4th IFSA Congress, Part of Artificial Intelligence   1991   
Fuzzy expert systems based on rough sets
4th IFSA Congress, Part of Artificial Intelligence   1991   

Research Grants & Projects

 
Evolutionary Multiobjective Optimization
The Other Research Programs
Project Year: 1994   
Design of Fuzzy Classification Systems
The Other Research Programs
Project Year: 1990   
Applications of Genetic Algorithms
The Other Research Programs
Project Year: 1990   
Knowledge Extraction from Numerical Data
The Other Research Programs
Project Year: 1987