Hisao Ishibuchi
Hisao Ishibuchi
Southern University of Science and Technology
Dirección de correo verificada de - Página principal
Citado por
Citado por
A multi-objective genetic local search algorithm and its application to flowshop scheduling
H Ishibuchi, T Murata
IEEE transactions on systems, man, and cybernetics, part C (applications and …, 1998
Evolutionary many-objective optimization: A short review
H Ishibuchi, N Tsukamoto, Y Nojima
2008 IEEE congress on evolutionary computation (IEEE world congress on …, 2008
Multiobjective programming in optimization of the interval objective function
H Ishibuchi, H Tanaka
European journal of operational research 48 (2), 219-225, 1990
Selecting fuzzy if-then rules for classification problems using genetic algorithms
H Ishibuchi, K Nozaki, N Yamamoto, H Tanaka
IEEE Transactions on fuzzy systems 3 (3), 260-270, 1995
Balance between genetic search and local search in memetic algorithms for multiobjective permutation flowshop scheduling
H Ishibuchi, T Yoshida, T Murata
IEEE transactions on evolutionary computation 7 (2), 204-223, 2003
MOGA: multi-objective genetic algorithms
T Murata, H Ishibuchi
IEEE international conference on evolutionary computation 1, 289-294, 1995
Multi-objective genetic algorithm and its applications to flowshop scheduling
T Murata, H Ishibuchi, H Tanaka
Computers & industrial engineering 30 (4), 957-968, 1996
Distributed representation of fuzzy rules and its application to pattern classification
H Ishibuchi, K Nozaki, H Tanaka
Fuzzy sets and systems 52 (1), 21-32, 1992
Performance evaluation of fuzzy classifier systems for multidimensional pattern classification problems
H Ishibuchi, T Nakashima, T Murata
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 29 …, 1999
Rule weight specification in fuzzy rule-based classification systems
H Ishibuchi, T Yamamoto
IEEE transactions on fuzzy systems 13 (4), 428-435, 2005
Classification and modeling with linguistic information granules: Advanced approaches to linguistic Data Mining
H Ishibuchi, T Nakashima, M Nii
Springer Science & Business Media, 2004
Effect of rule weights in fuzzy rule-based classification systems
H Ishibuchi, T Nakashima
IEEE Transactions on Fuzzy Systems 9 (4), 506-515, 2001
Fuzzy rule selection by multi-objective genetic local search algorithms and rule evaluation measures in data mining
H Ishibuchi, T Yamamoto
Fuzzy sets and systems 141 (1), 59-88, 2004
Genetic algorithms for flowshop scheduling problems
T Murata, H Ishibuchi, H Tanaka
Computers & Industrial Engineering 30 (4), 1061-1071, 1996
Single-objective and two-objective genetic algorithms for selecting linguistic rules for pattern classification problems
H Ishibuchi, T Murata, IB Türkşen
Fuzzy sets and systems 89 (2), 135-150, 1997
Performance of decomposition-based many-objective algorithms strongly depends on Pareto front shapes
H Ishibuchi, Y Setoguchi, H Masuda, Y Nojima
IEEE Transactions on Evolutionary Computation 21 (2), 169-190, 2016
Modified distance calculation in generational distance and inverted generational distance
H Ishibuchi, H Masuda, Y Tanigaki, Y Nojima
Evolutionary Multi-Criterion Optimization: 8th International Conference, EMO …, 2015
Analysis of interpretability-accuracy tradeoff of fuzzy systems by multiobjective fuzzy genetics-based machine learning
H Ishibuchi, Y Nojima
International Journal of Approximate Reasoning 44 (1), 4-31, 2007
A simple but powerful heuristic method for generating fuzzy rules from numerical data
K Nozaki, H Ishibuchi, H Tanaka
Fuzzy sets and systems 86 (3), 251-270, 1997
Neural networks that learn from fuzzy if-then rules
H Ishibuchi, R Fujioka, H Tanaka
IEEE Transactions on fuzzy systems 1 (2), 85-97, 1993
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20