Aplicação de técnicas de planejamento experimental em otimizadores baseados em algoritmos genéticos. / Design of experiments applied to optimizers based on genetic algorithms.

AUTOR(ES)

Heitor Honda Federico

DATA DE PUBLICAÇÃO

2007

RESUMO

A important problem faced by engineers is the search of optimal solutions for problems with a great number of possible solutions. Throughout this work, it is studied stochastic optimizers based on genetic algorithms, applied initially to the study of biological systems. Some alterations on the traditional genetic algorithms based optimizer are proposed through the use of experiment design techniques, which resulted in a improvement of the convergence that can be perceived, not only in the convergence speed, but on the number of solutions analyzed as well. As a consequence, a algorithm is proposed, covering both the traditional genetic algorithms based optimizer and the gradient method domains, allowing a better tuning of the optimizer to the problem.

ASSUNTO(S)

variance analysis análise de variância (planejamento) algoritmos genéticos (otimização) genetic algorithms

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