A Multiobjective Approach of Differential Evolution Optimization Applied to Electromagnetic Problems

Autor(es)

Tenaglia, Gustavo Caravaggi ^[1] ; Lebensztajn, Luiz ^[1]

Afiliação do(s) autor(es)

^[1] Univ Sao Paulo, Escola Politecn, LMAG PEA, Lab Eletromagnetismo Aplicado, BR-05508900 Sao Paulo - Brazil

• Tipo de documento: Artigo Científico
• Fonte: IEEE Transactions on Magnetics; v. 50, n. 2 FEB 2014.
• Citações Web of Science: 17

Resumo

The differential evolution (DE) algorithm belongs to a class of evolutionary techniques that use the stochastic approach to solve optimization problems. Storn and Price proposed it in its mono-objective form, and since then it has yielded good results, such as faster global convergence, when compared with other classical evolutionary algorithms. A multi-objective approach is proposed here, combining the DE evolutionary mechanism with concepts extracted from the strength Pareto evolutionary algorithms (SPEAs), proposed by Zitzler and Theile. This approach was applied to test functions and electromagnetic problems to demonstrate its reliability. (AU)

• Processo FAPESP: 11/19528-0 - Implementação da evolução diferencial em uma nova plataforma de otimização
• Beneficiário: Gustavo Caravaggi Tenaglia
• Modalidade de apoio: Bolsas no Exterior - Estágio de Pesquisa - Iniciação Científica
• Processo FAPESP: 11/00249-3 - Evolução diferencial aplicada ao projeto de equipamentos elétricos
• Beneficiário: Gustavo Caravaggi Tenaglia
• Modalidade de apoio: Bolsas no Brasil - Iniciação Científica