A Micro-Genetic Algorithm for Multiobjective Optimization

Authors:
Carlos A. Coello Coello;Gregorio Toscano Pulido
Affiliations:
-;-
Venue:
EMO '01 Proceedings of the First International Conference on Evolutionary Multi-Criterion Optimization
Year:
2001

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Abstract

In this paper, we propose a multiobjective optimization approach based on a micro genetic algorithm (micro-GA) which is a genetic algorithm with a very small population (four individuals were used in our experiment) and a reinitialization process. We use three forms of elitism and a memory to generate the initial population of the micro-GA. Our approach is tested with several standard functions found in the specialized literature. The results obtained are very encouraging, since they show that this simple approach can produce an important portion of the Pareto front at a very low computational cost.