To improve the global astringency of evolutionary algorithm, an algorithm based on multi-population concurrent evolution is proposed.
为了提高进化算法的全局收敛性，提出了一种多种群同时进化的算法。
Artificial Fish-Swarm Algorithm (AFSA) is a novel optimizing method. It has a strong robustness and good global astringency, and it is also proved to be insensitive to initial values.
人工鱼群算法(AFSA)是一种新型的寻优策略，它具有鲁棒性强，全局收敛性好，以及对初值的不敏感性等优点。
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