公茂果, 焦李成, 杨咚咚等. 进化多目标优化算法研究[J].软件学报, 2009, 20(2): 271-289. (Gong M G, Jiao L C, Yang D D et al. Research on evolutionary multi-objective optimization algorithms[J]. Journal of Software, 2009, 20(2): 271-289.) [2] Reyes-Sierra M, Coello C A C. Multi-objective particle swarm optimizers: A survey of the state-of-the- Art[J]. International Journal of Computational Intelligence Research, 2006, 2(3): 287-308. [3] Li X D. Better spread and convergence: Particle swarm multiobjective optimization using the maximin fitness function[C]. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO’2004), Washington, USA, 2004: 117-128. [4] 徐鸣, 沈希, 马龙华等. 一种多目标粒子群改进算法的研究[J].控制与决策, 2009, 24(11): 1713-1718. (Xu M, Shen X, Ma L H. Research on modified multi- objective particle swarm optimization[J]. Control and Decision, 2009, 24(11): 1713-1718.) [5] Li X D. A non-dominated sorting particle swarm optimizer for multiobjective optimization[C]. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO’2003), 2003: 37-48. [6] 王辉, 钱峰. 基于拥挤度与变异的动态微粒群多目标优化算法[J].控制与决策, 2008, 23(11): 1238-1242. (Wang H, Qian F. Improved PSO-based multi-objective optimization by crowding with mutation and particle swarm optimization dynamic changing[J]. Control and Decision, 2008, 23(11): 1238-1242.) [7] Coello C A C, Pulido G T, Lechuga M S. Handling multiple objectives with particle swarm optimization[J]. IEEE Transactions on Evolutionary Computation, 2004, 8(3): 256-279. [8] Lechuga M S, Rowe J. Particle swarm optimization and fitness sharing to solve multi-objective optimization problems[C], IEEE Congress on Evolutionary Computation, Edinburgh: IEEE Press, 2005: 1204-1211. [9] Kennedy J, Eberhart R C. Particle swarm optimization[C]. Proceedings of the IEEE international Conference on Neural Networks, Piscataway, USA, 1995: 1942-1948. [10] Eberhart R C, Shi Y. Comparing inertia weights and constriction factors in particle swarm optimization[C]. Proceedings of the Conference on Evolutionary Computation, San Diego, CA, 2000: 84-88. [11] 张勇, 巩敦卫, 张婉秋. 一种基于单纯形法的改进微粒群优化算法及其收敛性分析[J].自动化学报, 2009, 35(3): 289-298. (Zhang Y, Gong DW, ZhangWQ. A simplex method based improved particle swarm optimization and analysis on its global convergence[J]. ACTA AUTOMATICA SINICA, 2009, 35(3): 289-298.) [12] Fan S K S, Zahara E. A hybrid simplex search and particle swarm optimization for unstrained optimization[J]. European Journal of Operational Research, 2007, 181: 527-548. [13] 陈宝林. 最优化理论与算法(第2版)[M]. 北京: 清华大学出版社, 2005. (Chen B L. Optimization Theory and Algorithms (2nd edition)[M]. Beijing: Tsinghua University Press, 2005.) [14] Balling R. The maximin fitness function; Multiobjective city and regional planning[C]. Proceedings of EMO 2003, 2003: 1-15. [15] Deb K, Pratap A, Agarwal S, Meyarivan T. A fast and elitist multiobjective genetic algorithm: NSGA-Ⅱ[J]. IEEE Transactions on Evolutionary Computation, 2002, 6(2): 182-197. [16] Zitzler E, Deb K, Thiele L. Comparison of multiobjective evolutionary algorithms: Empirical results[J]. Evolutionary Computation, 2000, 8(2): 173-195.
