Título: A Multi-objective Version of the Multiple Particle Collision Algorithm
Autores: Luz, Eduardo F. P.; Araujo, Amarisio da S.; Anochi, Juliana A.; Velho, Haroldo F. Campos
Resumo: A multi-objective version of a meta-heuristic, loosely inspired on the behaviour of particles inside a nuclear reactor, is presented. The Multi-objective Multiple Particle Collision Algorithm (MMPCA) uses the Pareto based fitness assignment, which uses the concept of dominance, to generate new solutions and build the Pareto set. The original population is duplicated, with purpose of classification and for applying the crowding distance approach. The latter procedures are also used in the NSGA-II.
Código DOI: 10.21528/CBIC2013-263
Artigo em pdf: bricsccicbic2013_submission_263.pdf
Arquivo BibTex: bricsccicbic2013_submission_263.bib