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Hiroyuki Masuda
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2010 – 2019
- 2017
- [j2]Hisao Ishibuchi, Yu Setoguchi, Hiroyuki Masuda, Yusuke Nojima:
Performance of Decomposition-Based Many-Objective Algorithms Strongly Depends on Pareto Front Shapes. IEEE Trans. Evol. Comput. 21(2): 169-190 (2017) - 2016
- [j1]Hisao Ishibuchi, Hiroyuki Masuda, Yusuke Nojima:
Pareto Fronts of Many-Objective Degenerate Test Problems. IEEE Trans. Evol. Comput. 20(5): 807-813 (2016) - [c18]Hisao Ishibuchi, Hiroyuki Masuda, Yusuke Nojima:
Sensitivity of performance evaluation results by inverted generational distance to reference points. CEC 2016: 1107-1114 - [c17]Hisao Ishibuchi, Yu Setoguchi, Hiroyuki Masuda, Yusuke Nojima:
How to compare many-objective algorithms under different settings of population and archive sizes. CEC 2016: 1149-1156 - [c16]Hiroyuki Masuda, Yusuke Nojima, Hisao Ishibuchi:
Common properties of scalable multiobjective problems and a new framework of test problems. CEC 2016: 3011-3018 - 2015
- [c15]Yuki Tanigaki, Hiroyuki Masuda, Yu Setoguchi, Yusuke Nojima, Hisao Ishibuchi:
Algorithm structure optimization by choosing operators in multiobjective genetic local search. CEC 2015: 854-861 - [c14]Hisao Ishibuchi, Hiroyuki Masuda, Yusuke Nojima:
Comparing solution sets of different size in evolutionary many-objective optimization. CEC 2015: 2859-2866 - [c13]Hisao Ishibuchi, Hiroyuki Masuda, Yuki Tanigaki, Yusuke Nojima:
Modified Distance Calculation in Generational Distance and Inverted Generational Distance. EMO (2) 2015: 110-125 - [c12]Hisao Ishibuchi, Hiroyuki Masuda, Yusuke Nojima:
A Study on Performance Evaluation Ability of a Modified Inverted Generational Distance Indicator. GECCO 2015: 695-702 - [c11]Hisao Ishibuchi, Ken Doi, Hiroyuki Masuda, Yusuke Nojima:
Relation Between Weight Vectors and Solutions in MOEA/D. SSCI 2015: 861-868 - 2014
- [c10]Hiroyuki Masuda, Yusuke Nojima, Hisao Ishibuchi:
Visual examination of the behavior of EMO algorithms for many-objective optimization with many decision variables. IEEE Congress on Evolutionary Computation 2014: 2633-2640 - [c9]Hisao Ishibuchi, Hiroyuki Masuda, Yuki Tanigaki, Yusuke Nojima:
Difficulties in specifying reference points to calculate the inverted generational distance for many-objective optimization problems. MCDM 2014: 170-177 - [c8]Hisao Ishibuchi, Hiroyuki Masuda, Yuki Tanigaki, Yusuke Nojima:
Review of coevolutionary developments of evolutionary multi-objective and many-objective algorithms and test problems. MCDM 2014: 178-184 - [c7]Hisao Ishibuchi, Hiroyuki Masuda, Yusuke Nojima:
Meta-level multi-objective formulations of set optimization for multi-objective optimization problems: multi-reference point approach to hypervolume maximization. GECCO (Companion) 2014: 89-90 - [c6]Hisao Ishibuchi, Yuki Tanigaki, Hiroyuki Masuda, Yusuke Nojima:
Distance-Based Analysis of Crossover Operators for Many-Objective Knapsack Problems. PPSN 2014: 600-610 - [c5]Hisao Ishibuchi, Hiroyuki Masuda, Yusuke Nojima:
Selecting a small number of non-dominated solutions to be presented to the decision maker. SMC 2014: 3816-3821 - 2011
- [c4]Toshiyuki Fujii, Hiroyuki Masuda, Yoshihiro Ogashi, Masahiko Tsukakoshi, Makoto Yoshimura:
Study of subsynchronous torsional interaction with voltage source inverter drive for LNG plant. IAS 2011: 1-6 - [c3]Kiyotaka Sasagawa, Hiroyuki Masuda, Ayato Tagawa, Takuma Kobayashi, Toshihiko Noda, Takashi Tokuda, Jun Ohta:
Micro CMOS image sensor for multi-area imaging. VLSI-SoC 2011: 15-18
2000 – 2009
- 2004
- [c2]Noriaki Aoki, Sachiko Ohta, Hiroyuki Masuda, Tokihiro Naito, Takahiro Sawai, Kayo Nishida, Taisuke Okada, Mariko Oishi, Yuko Iwasawa, Keiko Toyomasu, Kenji Hira, Tsuguya Fukui:
Edutainment Tools for Initial Education of Type-1 Diabetes Mellitus: Initial Diabetes Education with Fun. MedInfo 2004: 855-859 - [c1]Andris Ambainis, Kazuo Iwama, Akinori Kawachi, Hiroyuki Masuda, Raymond H. Putra, Shigeru Yamashita:
Quantum Identification of Boolean Oracles. STACS 2004: 105-116
Coauthor Index
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