High performance architecture for NSGA-II

Josué Domínguez, Oscar Montiel, Roberto Sepúlveda, Nataly Medina

Producción científica: Capítulo del libro/informe/acta de congresoCapítulorevisión exhaustiva

3 Citas (Scopus)

Resumen

NSGA-II is one of the most popular algorithms for solving Multiobjective Optimization Problems. It has been used to solve different real-world optimization problems. However, NSGA-II has been criticized for its high computational cost and bad performance on applications with more than two objective functions. In this paper, we propose a high performance architecture for the NSGA-II using parallel computing, for evaluation functions and genetic operators. In the proposed architecture, the Mishra Fast Algorithm for finding the Non Dominated Set was used. We present results for five different test functions.

Idioma originalInglés
Título de la publicación alojadaRecent Advances on Hybrid Intelligent Systems
EditoresOscar Castillo, Patricia Melin, Oscar Castillo, Patricia Melin, Janusz Kacprzyk
Páginas451-461
Número de páginas11
DOI
EstadoPublicada - 2013

Serie de la publicación

NombreStudies in Computational Intelligence
Volumen451
ISSN (versión impresa)1860-949X

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