| 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 | 1393 | 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 | 1284 | 2008 |
| Multiobjective programming in optimization of the interval objective function H Ishibuchi, H Tanaka European journal of operational research 48 (2), 219-225, 1990 | 1037 | 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 | 1018 | 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 | 972 | 2003 |
| MOGA: multi-objective genetic algorithms T Murata, H Ishibuchi IEEE international conference on evolutionary computation 1, 289-294, 1995 | 833 | 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 | 787 | 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 | 705 | 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 | 697 | 1999 |
| Rule weight specification in fuzzy rule-based classification systems H Ishibuchi, T Yamamoto IEEE transactions on fuzzy systems 13 (4), 428-435, 2005 | 628 | 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 | 627 | 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 | 611 | 2001 |
| 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 | 604 | 2015 |
| 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 | 584 | 2004 |
| 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 | 565 | 2016 |
| Genetic algorithms for flowshop scheduling problems T Murata, H Ishibuchi, H Tanaka Computers & Industrial Engineering 30 (4), 1061-1071, 1996 | 547 | 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 | 526 | 1997 |
| 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 | 491 | 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 | 428 | 1997 |
| Three-objective genetics-based machine learning for linguistic rule extraction H Ishibuchi, T Nakashima, T Murata Information sciences 136 (1-4), 109-133, 2001 | 402 | 2001 |
