Multi-Agent协同进化算法研究

Research on Multi-Agent Co-evolutionary Algorithm

与传统优化方法相比,进化计算具有内在的并行性和自组织、自适应、自学习等智能特征,它在许多领域显示出巨大优势并取得一定成功。研究Multi-Agent协同进化算法,集成现有算法中的几种优势策略,利用混合策略的思想结合具体问题设计算法,并以实例说明该算法的有效性。

In comparison with traditional optimization methods, evolutionary computation due to its intrinsic parallelism and some intelligent propertics, such as self-organizing, self-adaptation, and self-learning. Evolutionary computation has been successfully applied to many fields. This paper proposes a Multi-Agent co-evolutionary algorithm, designs a new hybrid algorithm by combining evolutionary algorithm with some field-special strategies, and proves their efficiency by several experiments.