An improved NSGA-III algorithm based on elimination operator for many-objective optimization
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Control and Optimization,General Computer Science
Link
http://link.springer.com/article/10.1007/s12293-017-0240-7/fulltext.html
Reference32 articles.
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3. Bi X, Wang C (2016) An improved NSGA-III algorithm based on objective space decomposition for many-objective optimization. Soft Comput. doi: 10.1007/s00500-016-2192-0
4. Cai L, Qu S, Yuan Y, Yao X (2015) A clustering-ranking method for many-objective optimization. Appl Soft Comput 35:681–694. doi: 10.1016/j.asoc.2015.06.020
5. Carreno Jara E (2014) Multi-objective optimization by using evolutionary algorithms: the p-optimality criteria evolutionary computation. IEEE Trans. 18:167–179. doi: 10.1109/TEVC.2013.2243455
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