The role of /spl epsi/-dominance in multi objective particle swarm optimization methods
暂无分享,去创建一个
[1] Eckart Zitzler,et al. Evolutionary algorithms for multiobjective optimization: methods and applications , 1999 .
[2] Mihalis Yannakakis,et al. On the approximability of trade-offs and optimal access of Web sources , 2000, Proceedings 41st Annual Symposium on Foundations of Computer Science.
[3] Marco Laumanns,et al. SPEA2: Improving the strength pareto evolutionary algorithm , 2001 .
[4] Jürgen Teich,et al. Comparison of data structures for storing Pareto-sets in MOEAs , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).
[5] A. Farhang-Mehr,et al. Diversity assessment of Pareto optimal solution sets: an entropy approach , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).
[6] C.A. Coello Coello,et al. MOPSO: a proposal for multiple objective particle swarm optimization , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).
[7] Jonathan E. Fieldsend,et al. A Multi-Objective Algorithm based upon Particle Swarm Optimisation, an Efficient Data Structure and , 2002 .
[8] Marco Laumanns,et al. Scalable multi-objective optimization test problems , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).
[9] Marco Laumanns,et al. Archiving With Guaranteed Convergence And Diversity In Multi-objective Optimization , 2002, GECCO.
[10] Russell C. Eberhart,et al. Particle swarm with extended memory for multiobjective optimization , 2003, Proceedings of the 2003 IEEE Swarm Intelligence Symposium. SIS'03 (Cat. No.03EX706).
[11] Jürgen Teich,et al. Strategies for finding good local guides in multi-objective particle swarm optimization (MOPSO) , 2003, Proceedings of the 2003 IEEE Swarm Intelligence Symposium. SIS'03 (Cat. No.03EX706).
[12] Jürgen Teich,et al. Covering Pareto Sets by Multilevel Evolutionary Subdivision Techniques , 2003, EMO.
[13] Xin Yao,et al. Performance Scaling of Multi-objective Evolutionary Algorithms , 2003, EMO.
[14] Michael N. Vrahatis,et al. Recent approaches to global optimization problems through Particle Swarm Optimization , 2002, Natural Computing.
[15] Jürgen Teich,et al. Quad-trees: A Data Structure for Storing Pareto Sets in Multiobjective Evolutionary Algorithms with Elitism , 2005, Evolutionary Multiobjective Optimization.