Generalized multiobjective evolutionary algorithm guided by descent directions

This paper proposes a generalized descent directions-guided multiobjective algorithm (DDMOA2). DDMOA2 uses the scalarizing fitness assignment in its parent and environmental selection procedures. The population consists of leader and non-leader individuals. Each individual in the population is repre...

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Detalhes bibliográficos
Autor principal: Denysiuk, Roman (author)
Outros Autores: Costa, L. (author), Espírito Santo, I. A. C. P. (author)
Formato: article
Idioma:eng
Publicado em: 2014
Assuntos:
Multiobjective optimization
Multiobjective evolutionary algorithms
Performance assessment
Texto completo:http://hdl.handle.net/1822/36997
País:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/36997

Texto Completo

http://hdl.handle.net/1822/36997

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