The study of a new multiagent-based genetic algorithm

Abstract

Through the analysis and studying of the simple genetic algorithm (SGA) and its research state, the authors suggest a new multiagent-based genetic algorithm, define the environment of SGA, present the agent structure, genetic operator, target/evaluation function, and flow chat. Finally, they verify this new GA with two test functions. The results show that this new GA have many merits and advantages.