 | 2011 |
|---|
| 10 |       | Hisao Ishibuchi,
Yasuhiro Hitotsuyanagi,
Hiroyuki Ohyanagi,
Yusuke Nojima:
Effects of the Existence of Highly Correlated Objectives on the Behavior of MOEA/D.
EMO 2011: 166-181 |
| 2010 |
|---|
| 9 | | Hisao Ishibuchi,
Yasuhiro Hitotsuyanagi,
Yusuke Nakashima,
Yusuke Nojima:
Multiobjectivization from two objectives to four objectives in evolutionary multi-objective optimization algorithms.
NaBIC 2010: 502-507 |
| 8 | | Hisao Ishibuchi,
Yasuhiro Hitotsuyanagi,
Yoshihiko Wakamatsu,
Yusuke Nojima:
How to Choose Solutions for Local Search in Multiobjective Combinatorial Memetic Algorithms.
PPSN (1) 2010: 516-525 |
| 7 | | 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 |
| 2009 |
|---|
| 6 | | Yuki Tsujimoto,
Yasuhiro Hitotsuyanagi,
Yusuke Nojima,
Hisao Ishibuchi:
Effects of Including Single-Objective Optimal Solutions in an Initial Population on Evolutionary Multiobjective Optimization.
SoCPaR 2009: 352-357 |
| 5 | | 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) |
| 2008 |
|---|
| 4 | | 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 |
| 3 | | Hisao Ishibuchi,
Yasuhiro Hitotsuyanagi,
Yusuke Nojima:
Scalability of multiobjective genetic local search to many-objective problems: Knapsack problem case studies.
IEEE Congress on Evolutionary Computation 2008: 3586-3593 |
| 2 | | 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 |
| 2007 |
|---|
| 1 | | Hisao Ishibuchi,
Yasuhiro Hitotsuyanagi,
Yusuke Nojima:
An empirical study on the specification of the local search application probability in multiobjective memetic algorithms.
IEEE Congress on Evolutionary Computation 2007: 2788-2795 |
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