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一种改进的鲁棒多目标优化方法

, PP. 1178-1182

Keywords: 参数扰动,多目标优化,鲁棒优化

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Abstract:

针对在解决某些复杂多目标优化问题过程中,所得到的Pareto最优解易受设计参数或环境参数扰动的影响,引入了鲁棒的概念并提出一种改进的鲁棒多目标优化方法,它利用了经典的基于适应度函数期望和方差方法各自的优势,有效地将两种方法结合在一起.为了实现该方法,给出一种基于粒子群优化算法的多目标优化算法.仿真实例结果表明,所给出的方法能够得到更为鲁棒的Pareto最优解.

References

[1]  Shimoyama K., Oyama A., and Fujii K., "A New Efficient and Useful Robust Optimization Approach- Design for Multi-Objective Six Sigma," presented at the Proceedings of the 2005 IEEE Congress on Evolutionary Computation, 2005, pp. 950-957.
[2]  Lim D., Ong Y.-S., Jin Y.C., Sendhoff B., and Lee B.S., "Inverse multi-objective robust evolutionary design," Genet Program Evolvable Mach, vol. 7, 2006, pp. 383-404.
[3]  Ray T., "Constrained Robust Opitmal Design using a Multiobjective Evolutionary Algorithm," in Proc. Congr. Evol. Comput., 2002, pp. 419-424.
[4]  Gunawan S. and Azarm S., "Multi-objective robust optimization using a sensitvity region concept," Struct. Multidisc. Optim., vol. 29, 2005, pp. 50-60.
[5]  Barrico C. and Antunes C.H., "Robustness Analysis in Multi-Objective Optimization Using a Degree of Robustness Concept," presented at the 2006 IEEE Congress on Evolutionary Computation, Vancouver, BC, Canada, 2006, pp. 1887-1892.
[6]  Gaspar-Cunha A. and Covas J.A., "Robustness in multi-objective optimization using evolutionary algorithms," Computational Optimization and Applications vol. 39, 2008, pp. 75-96.
[7]  Deb K. and Gupta H., "Introducing Robustness in Multi-Objective Optimization," Evolutionary Computation, vol. 14, 2006, pp. 463-494.
[8]  Deb K. and Gupta H., "Searching for Robust Pareto-Optimal Solutions in Multi-Objective Optimization," in EMO 2005, LNCS 3410, 2005, pp. 150-164.
[9]  Ong Y.-S., Nair P.B., and Lum K.Y., "Max-Min Surrogate-Assisted Evolutionary Algorithm for Robust Design," IEEE transactions on Evolutionary Computation, vol. 10, 2006, pp. 392-404.
[10]  Ming Xu, Longhua Ma, Xinlei Jin, Jixin Qian. A method of Parameter Optimization for Particle Swarm Optimization Based on Stochastic Processes. 2010 Sixth International Conference on Natural Computation. Yantai, China: 158-163 (2010).
[11]  Jin Y.C. and Sendhoff B., "Trade-off between Performance and Robustness: An Evolutionary multiobjective Approach," in Evolutionary Multi-Criterion Optimization, ser. LNCS 2632, Berlin, Germany, 2003, pp. 237-251.
[12]  Gunawan S. and Azarm S., "Non-gradient Based Parameter Sensitivity Estimation for Single Objective Robust Design Opitmization," Trans. ASME, Journal of Mechanical Design, vol. 126, 2004, pp. 395-402.
[13]  Barrico C. and Antunes C.H., "An Evolutionary Approach for Assessing the Degree of Robustness of Solutions to Muti-Objective Models," Studies in Computational Intelligence, vol. 51, 2007, pp. 565-582.
[14]  徐鸣, 沈希, 马龙华, 黄跃进, 胡娟, 顾江萍, 金华强, 钱积新. 一种多目标粒子群改进算法的研究[J]. 控制与决策, 24(11):1713-1718(2009).

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