BDBComp
Parceria:
SBC
Mapeando Diagramas da Teoria da Atividade em Modelos Organizacionais Baseados em i*

Leandro S. CoelhoViviana C. Mariani

A new conception of Lamarckian evolution based on combination of particle swarm intelligence and Hooke-Jeeves optimization method is presented in this paper. The proposed methodology involves two levels of optimization, namely evolution (particle swarm optimization) and individual learning (Hooke-Jeeves method), which cooperate in a procedure of global optimization. The simulation results indicate that the optimization based on Lamarckian evolution presents enhancement in solution quality, reliability, and accuracy properties for the Weber's problem.

http://www.dcc.ufla.br/infocomp/artigos/v4.3/art04.pdf

Caso o link acima esteja inválido, faça uma busca pelo texto completo na Web: Buscar na Web

Biblioteca Digital Brasileira de Computação - Contato: bdbcomp@lbd.dcc.ufmg.br
     Mantida por:
LBD