Author:
Li Zhiyong,Rudolph Günter,Li Kenli
Subject
Computational Mathematics,Computational Theory and Mathematics,Modeling and Simulation
Reference19 articles.
1. Genetic algorithms for multiobjective optimization: Formulation, discussion and generalization;Fonseca,1993
2. J. Horn, N. Nafpliotis, D.E. Goldberg, A niched pareto genetic algorithm for multiobjective optimization, in: Proceedings of the First IEEE Conference on Evolutionary Computation, IEEE World Congress on Computational Intelligence, Piscataway, New Jersey: IEEE Service Center, 1994, PP. 82–87
3. A fast and elitist multiobjective genetic algorithm: NSGA-II;Deb;IEEE Transactions on Evolutionary Computation,2002
4. E. Zitzler, M. Laumanns, L. Thiele, SPEA2: Improving the Strength Pareto Evolutionary Algorithm, Technical Report on Computer Engineering and Communication Networks Lab (TIK), 103 (2001)
5. G. Rudolph, A. Agapie, Convergence Properties of Some Multi-Objective Evolutionary Algorithms, in: Proceedings of the 2000 Congress on Evolutionary Computation, CEC 2000, 2000, pp. 1010–1016
Cited by
16 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献