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| Vol. 1 (2010) , No. 1 pp.32-42 |
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| 解の支配領域の自己制御による進化型多数目的最適化: 多数目的 0/1 ナップザック問題における性能検証と挙動解析 |
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[Aguirre 07] H. Aguirre and K. Tanaka, Working Principles, Behavior, and Performance of MOEAs on MNK-Landscapes, European Journal of Operational Research, Vol. 181, Issue 3, pp.1670-1690, 2007.
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[Branke 01] J. Branke, T. Kausler and H. Schmeck, Guidance in evolutionary multi-objective optimization, Advances in Engineering Software, Vol.32, pp. 499--507, 2001.
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[Deb 00] K. Deb, S. Agrawal, A. Pratap and T. Meyarivan, A Fast Elitist Non-Dominated Sorting Genetic Algorithm for Multi-Objective Optimization: NSGA-II", KanGAL report 200001, 2000.
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[Deb 01] K. Deb, Multi-Objective Optimization using Evolutionary Algorithms, John Wiley & Sons, 2001.
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[Fonseca 06] C. Fonseca, L. Paquete, and M. Lopez-Ibanez, An Improved Dimension-sweep Algorithm for the Hypervolume Indicator, Proc. 2006 IEEE Congress on Evolutionary Computation, pp.1157-1163, 2006.
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[Hughes 05] E. J. Hughes, Evolutionary Many-Objective Optimisation: Many Once or One Many?, Proc. IEEE Congress on Evolutionary Computation (CEC2005), pp.222-227, Sep. 2005.
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[Ikeda 01] K. Ikeda, H. Kita and S. Kobayashi, Failure of Pareto-based MOEAs: Does non-dominated really mean near to optimal?, Proc. of 2001 IEEE Congress on Evolutionary Computation, pp. 957--962, 2001.
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[Ishibuchi 07] H. Ishibuchi and Y. Nojima, Optimization of scalarizing functions through evolutionary multiobjective optimization, Proc. 4th Intl. Conf. Evolutionary Multi-Criterion Optimization (EMO 2007), LNCS, Vol.4403, pp. 51--65, 2007.
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[Sato 06] M. Sato, H. Aguirre, K. Tanaka, Effects of delta-Similar Elimination and Controlled Elitism in the NSGA-II Multiobjective Evolutionary Algorithm, Proc. IEEE Congress on Evolutionary Computation (CEC2006), pp. 3980--398, 2006.
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[Sato 07] H. Sato, H. Aguirre and K. Tanaka, Controlling Dominance Area of Solutions and Its Impact on the Performance of MOEAs, Proc. 4th Intl. Conf. Evolutionary Multi-Criterion Optimization (EMO 2007), LNCS, Vol.4403, pp.5--20, 2007
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[Sato 07-2] H. Sato, H. Aguirre and K. Tanaka, Effect of Controlling Dominance Area of Solutions in MOEAs on Convex Problems with Many Objectives, Proc. 7th Intl. Conf. on Optimization: Techniques and Applications (ICOTA7), in CD-ROM, 2007.
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[Sato 10] 佐藤 寛之, エルナン・アギレ, 田中 清, 解の支配領域を自己制御可能なCDAS法に関する一検討, 人工知能学会 第４回進化計算フロンティア研究会, pp.125--132, 2010
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[Sato 10-2] H. Sato, H. Aguirre and K. Tanaka, Self-Controlling Dominance Area of Solutions in Evolutionary Many-objective Optimization”,Proc. 8th International Conference on Simulated Evolution and Learning (SEAL2010), LNCS, Vol.6457, to appear.
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[Wagner 07] T. Wagner, N. Beume and B. Naujoks. Pareto-, Aggregation-, and Indicator-Based Methods in Many-Objective Optimization, Proc. 4th Intl. Conf. on Evolutionary Multi-Criterion Optimization (EMO2007), pp.742--756, 2007.
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[Zitzler 01] E. Zitzler, M. Laumanns and L. Thiele: SPEA2: Improving the Strength Pareto Evolutionary Algorithm, TIK-Report, No.103, 2001.
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[Zitzler 04] E. Zitzler, S. Kunzili, Indicator-Based Selection in Multiobjective Search, Proc. 8th Intl. Conf. on Parallel Problem Solving from Nature (PPSN-VIII), LNCS, Vol.3242, pp.832--842, 2004.
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[Zitzler 98] E. Zitzler and L. Thiele, Multiobjective optimization using evolutionary algorithms -- a comparative case study, Proc. 5th Intl. Conf. on Parallel Problem Solving from Nature (PPSN-V), LNCS, Vol.1498, pp.292-304, 1998.
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[Zitzler 99] E. Zitzler, Evolutionary Algorithms for Multiobjective Optimization: Methods and Applications, PhD thesis, Swiss Federal Institute of Technology, Zurich, 1999.
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