A Genetic Algorithm Based on Multi-bee population evolutionary for numerical optimization

Abstract

In this paper, genetic algorithm based on multi-bee population evolutionary (BMGA) is proposed. In BMGA, there are many bee populations. One is from generation by the BMGA, the others are random populations, and consequentially it enhances the exploration of genetic algorithm. Optimum individual being a queen-bee in each population crossover with each… (More)

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