The Importance of Diversity in Multi-objective Evolutionary Algorithms

Author:

Coello Coello Carlos A.ORCID,Castillo Tapia Ma. Guadalupe

Publisher

Springer Singapore

Reference31 articles.

1. Adra SF, Fleming PJ (2011) Diversity management in evolutionary many-objective optimization. IEEE Trans Evol Comput 15(2):183–195

2. Baita F, Mason F, Poloni C, Ukovich W (1995) Genetic algorithm with redundancies for the vehicle scheduling problem. In: Biethahn J, Nissen V (eds) Evolutionary algorithms in management applications. Springer-Verlag, Berlin, pp 341–353

3. Bringmann K, Friedrich T, Neumann F, Wagner M (2011) Approximation-guided evolutionary multi-objective Optimization. In: Proceedings of the 21st international joint conference on artificial intelligence (IJCAI 2011). AAAI Press, Barcelona, Spain (2011), pp 1198–1203

4. Cai X, Sun H, Fan Z (2018) A diversity indicator based on reference vectors for many-objective optimization. Inf Sci 430:467–486

5. Coello Coello CA, Lamont GB, Van Veldhuizen DA (2007) Evolutionary algorithms for solving multi-objective problems, 2nd edn. Springer, New York. iSBN 978-0-387-33254-3

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