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Yusuke Nojima
Yusuke Nojima
Professor, Graduate School of Informatics, Osaka Metropolitan University
Bestätigte E-Mail-Adresse bei omu.ac.jp - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Evolutionary many-objective optimization: A short review
H Ishibuchi, N Tsukamoto, Y Nojima
2008 IEEE congress on evolutionary computation (IEEE world congress on …, 2008
13012008
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
6362015
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
5732016
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
4932007
A review of the application of multiobjective evolutionary fuzzy systems: Current status and further directions
M Fazzolari, R Alcala, Y Nojima, H Ishibuchi, F Herrera
IEEE Transactions on Fuzzy systems 21 (1), 45-65, 2012
3692012
Behavior of multiobjective evolutionary algorithms on many-objective knapsack problems
H Ishibuchi, N Akedo, Y Nojima
IEEE Transactions on Evolutionary Computation 19 (2), 264-283, 2014
3272014
A framework for large-scale multiobjective optimization based on problem transformation
H Zille, H Ishibuchi, S Mostaghim, Y Nojima
IEEE Transactions on Evolutionary Computation 22 (2), 260-275, 2017
2952017
How to specify a reference point in hypervolume calculation for fair performance comparison
H Ishibuchi, R Imada, Y Setoguchi, Y Nojima
Evolutionary computation 26 (3), 411-440, 2018
2242018
Evolutionary many-objective optimization by NSGA-II and MOEA/D with large populations
H Ishibuchi, Y Sakane, N Tsukamoto, Y Nojima
2009 IEEE International Conference on Systems, Man and Cybernetics, 1758-1763, 2009
2102009
Performance comparison of NSGA-II and NSGA-III on various many-objective test problems
H Ishibuchi, R Imada, Y Setoguchi, Y Nojima
2016 IEEE Congress on Evolutionary Computation (CEC), 3045-3052, 2016
1952016
Simultaneous use of different scalarizing functions in MOEA/D
H Ishibuchi, Y Sakane, N Tsukamoto, Y Nojima
Proceedings of the 12th annual conference on Genetic and evolutionary …, 2010
1652010
Adaptation of scalarizing functions in MOEA/D: An adaptive scalarizing function-based multiobjective evolutionary algorithm
H Ishibuchi, Y Sakane, N Tsukamoto, Y Nojima
Evolutionary Multi-Criterion Optimization, 438-452, 2009
1572009
Many-objective test problems to visually examine the behavior of multiobjective evolution in a decision space
H Ishibuchi, Y Hitotsuyanagi, N Tsukamoto, Y Nojima
Parallel Problem Solving from Nature–PPSN XI, 91-100, 2011
1482011
Adapting reference vectors and scalarizing functions by growing neural gas to handle irregular Pareto fronts
Y Liu, H Ishibuchi, N Masuyama, Y Nojima
IEEE Transactions on Evolutionary Computation 24 (3), 439-453, 2019
1442019
Handling imbalance between convergence and diversity in the decision space in evolutionary multimodal multiobjective optimization
Y Liu, H Ishibuchi, GG Yen, Y Nojima, N Masuyama
IEEE Transactions on Evolutionary Computation 24 (3), 551-565, 2019
1372019
Reference point specification in inverted generational distance for triangular linear Pareto front
H Ishibuchi, R Imada, Y Setoguchi, Y Nojima
IEEE Transactions on Evolutionary Computation 22 (6), 961-975, 2018
1362018
Multiobjective genetic fuzzy rule selection of single granularity-based fuzzy classification rules and its interaction with the lateral tuning of membership functions
R Alcalá, Y Nojima, F Herrera, H Ishibuchi
Soft Computing-A Fusion of Foundations, Methodologies and Applications 15 …, 2011
1242011
A double-niched evolutionary algorithm and its behavior on polygon-based problems
Y Liu, H Ishibuchi, Y Nojima, N Masuyama, K Shang
Parallel Problem Solving from Nature–PPSN XV: 15th International Conference …, 2018
1192018
Distributed flow shop scheduling with sequence-dependent setup times using an improved iterated greedy algorithm
X Han, Y Han, Q Chen, J Li, H Sang, Y Liu, Q Pan, Y Nojima
Complex system modeling and simulation 1 (3), 198-217, 2021
1182021
A study on performance evaluation ability of a modified inverted generational distance indicator
H Ishibuchi, H Masuda, Y Nojima
Proceedings of the 2015 annual conference on genetic and evolutionary …, 2015
1182015
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