A hybrid greedy indicator- and Pareto-based many-objective evolutionary algorithm

Author:

de Oliveira Matheus CarvalhoORCID,Delgado Myriam Regattieri,Britto André

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Reference52 articles.

1. Bader JM (2010) Hypervolume-based search for multiobjective optimization: theory and methods. 112 Johannes Bader

2. Beume N, Naujoks B, Emmerich M (2007) Sms-emoa: multiobjective selection based on dominated hypervolume. Eur J Oper Res 181(3):1653–1669

3. Brassard G, Bratley P (1996) Fundamentals of algorithmics. Prentice-Hall, Inc, Upper Saddle River

4. Carvalho M, Britto A (2018) Influence of reference points on a many-objective optimization algorithm. In: 2018 7th Brazilian conference on intelligent systems (BRACIS), pp 31–36. https://doi.org/10.1109/BRACIS.2018.00014

5. Chankong V, Haimes Y (1983) Multiobjective decision making: theory and methodology. North-Holland series in system science and engineering. North Holland

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