Spatial evolution character of multi-objective evolutionary algorithm based on self-organized criticality theory

Author:

Li Jun-fang,Zhang Bu-han,Liu Yi-fang,Wang Kui,Wu Xiao-shan

Funder

National High Technology Research and Development of China

Publisher

Elsevier BV

Subject

Condensed Matter Physics,Statistics and Probability

Reference23 articles.

1. A fast and elitist multi-objective genetic algorithm: NSGA-II;Deb;IEEE Transactions on Evolutionary Computation,2002

2. A.W. Iorio, X. Li, Solving rotated multiobjective optimization problems using differential evolution, in: Proc. AI: Adv. Artif. Intell., in: LNCS, vol. 3339, 2004, pp. 861–872.

3. Multi-objective immune algorithm with nondominated neighbor-based selection;Gong;Evolutionary Computation,2008

4. Differential evolution: a survey of the state-of-the-art;Das;IEEE Transactions on Evolutionary Computation,2011

5. Improving classical and decentralized differential evolution with new mutation operator and population topologies;Dorronsoro;IEEE Transactions on Evolutionary Computation,2011

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