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Noritaka Tsukamoto
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2010 – 2019
- 2011
- [j5]Hisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto, Yusuke Nojima:
Implementation of cellular genetic algorithms with two neighborhood structures for single-objective and multi-objective optimization. Soft Comput. 15(9): 1749-1767 (2011) - 2010
- [j4]Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima:
Diversity Improvement by Non-Geometric Binary Crossover in Evolutionary Multiobjective Optimization. IEEE Trans. Evol. Comput. 14(6): 985-998 (2010) - [c21]Hisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto, Yusuke Nojima:
Simultaneous use of different scalarizing functions in MOEA/D. GECCO 2010: 519-526 - [c20]Hisao Ishibuchi, Noritaka Tsukamoto, Yuji Sakane, Yusuke Nojima:
Indicator-based evolutionary algorithm with hypervolume approximation by achievement scalarizing functions. GECCO 2010: 527-534 - [c19]Hisao Ishibuchi, Yasuhiro Hitotsuyanagi, Noritaka Tsukamoto, Yusuke Nojima:
Many-Objective Test Problems to Visually Examine the Behavior of Multiobjective Evolution in a Decision Space. PPSN (2) 2010: 91-100
2000 – 2009
- 2009
- [j3]Noritaka Tsukamoto, Yusuke Nojima, Hisao Ishibuchi:
Effects of nongeometric binary crossover on multiobjective 0/1 knapsack problems. Artif. Life Robotics 13(2): 434-437 (2009) - [j2]Hisao Ishibuchi, Yasuhiro Hitotsuyanagi, Noritaka Tsukamoto, Yusuke Nojima:
Use of biased neighborhood structures in multiobjective memetic algorithms. Soft Comput. 13(8-9): 795-810 (2009) - [c18]Hisao Ishibuchi, Noritaka Tsukamoto, Yuji Sakane, Yusuke Nojima:
Hypervolume approximation using achievement scalarizing functions for evolutionary many-objective optimization. IEEE Congress on Evolutionary Computation 2009: 530-537 - [c17]Hisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto, Yusuke Nojima:
Effects of using two neighborhood structures on the performance of cellular evolutionary algorithms for many-objective optimization. IEEE Congress on Evolutionary Computation 2009: 2508-2515 - [c16]Hisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto, Yusuke Nojima:
Adaptation of Scalarizing Functions in MOEA/D: An Adaptive Scalarizing Function-Based Multiobjective Evolutionary Algorithm. EMO 2009: 438-452 - [c15]Hisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto, Yusuke Nojima:
Selecting a small number of representative non-dominated solutions by a hypervolume-based solution selection approach. FUZZ-IEEE 2009: 1609-1614 - [c14]Hisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto, Yusuke Nojima:
Single-objective and multi-objective formulations of solution selection for hypervolume maximization. GECCO 2009: 1831-1832 - [c13]Hisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto, Yusuke Nojima:
Evolutionary Many-Objective Optimization by NSGA-II and MOEA/D with Large Populations. SMC 2009: 1758-1763 - [c12]Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima:
Empirical Analysis of Using Weighted Sum Fitness Functions in NSGA-II for Many-Objective 0/1 Knapsack Problems. UKSim 2009: 71-76 - 2008
- [j1]Hisao Ishibuchi, Kaname Narukawa, Noritaka Tsukamoto, Yusuke Nojima:
An empirical study on similarity-based mating for evolutionary multiobjective combinatorial optimization. Eur. J. Oper. Res. 188(1): 57-75 (2008) - [c11]Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima:
Evolutionary many-objective optimization: A short review. IEEE Congress on Evolutionary Computation 2008: 2419-2426 - [c10]Hisao Ishibuchi, Noritaka Tsukamoto, Yasuhiro Hitotsuyanagi, Yusuke Nojima:
Effectiveness of scalability improvement attempts on the performance of NSGA-II for many-objective problems. GECCO 2008: 649-656 - [c9]Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima:
Maintaining the diversity of solutions by non-geometric binary crossover: a worst one-max solver competition case study. GECCO 2008: 1111-1112 - [c8]Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima:
Evolutionary many-objective optimization. GEFS 2008: 47-52 - [c7]Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima:
Examining the Effect of Elitism in Cellular Genetic Algorithms Using Two Neighborhood Structures. PPSN 2008: 458-467 - [c6]Hisao Ishibuchi, Yasuhiro Hitotsuyanagi, Noritaka Tsukamoto, Yusuke Nojima:
Use of Heuristic Local Search for Single-Objective Optimization in Multiobjective Memetic Algorithms. PPSN 2008: 743-752 - [c5]Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima:
Use of Local Ranking in Cellular Genetic Algorithms with Two Neighborhood Structures. SEAL 2008: 309-318 - [c4]Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima:
Behavior of Evolutionary Many-Objective Optimization. UKSim 2008: 266-271 - 2007
- [c3]Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima:
Iterative approach to indicator-based multiobjective optimization. IEEE Congress on Evolutionary Computation 2007: 3967-3974 - [c2]Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, Ken Ohara:
Effects of the use of non-geometric binary crossover on evolutionary multiobjective optimization. GECCO 2007: 829-836 - [c1]Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima:
Choosing extreme parents for diversity improvement in evolutionary multiobjective optimization algorithms. SMC 2007: 1946-1951
Coauthor Index
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