Particle Swarm Optimization and strength pareto to solve multiobjective optimization problems

Issue title: Selected papers from the 12th International Workshop on Optimization and Inverse Problems in Electromagnetism (OIPE 2012)

Guest editors: Luc Dupré and Guillaume Crevecoeur

Article type: Research Article

Authors: Barbosa, Leandro Zavarez^a | dos S. Coelho, Leandro^{b; c} | Lebensztajn, Luiz^{a; *}

Affiliations: [a] Laboratório de Eletromagnetismo Aplicado, Universidade de São Paulo, São Paulo, SP, Brazil | [b] PPGEPS, Escola Politécnica, Pontifícia Universidade Católica do Paraná, Curitiba, PR, Brazil | [c] PGEE, Centro Politécnico, Universidade Federal do Paraná, Curitiba, PR, Brazil

Correspondence: [*] Corresponding author: Luiz Lebensztajn, Laboratório de Eletromagnetismo Aplicado, Universidade de São Paulo, São Paulo, SP, Brazil. E-mail: leb@pea.usp.br

Abstract: Many attempts have been made to extend Particle Swarm Optimization to solve Multiobjective Problems. In this paper, the Strength Pareto concept, proposed by Zitzler, is incorporated to a Particle Swarm Optimization to build a new approach to solve Multiobjective Optimization Problems, the Multiobjective Strength Pareto Particle Swarm Optimization. Numerical results are reported to validate the proposed method to solve some unconstrained benchmarks problems and a constrained design of a brushless direct current motor.

Keywords: Electrical machines, multiobjective optimization, Particle Swarm Optimization

DOI: 10.3233/JAE-131717

Journal: International Journal of Applied Electromagnetics and Mechanics, vol. 43, no. 1-2, pp. 137-149, 2013