A Multi-agent Shuffled Frog Leaping Algorithm
Wang Lian-gu · Jisuanji gongcheng · 2013
This paper proposes a Multi-agent Shuffled Frog Leaping Algorithm(MSFLA) by introducing the multi-agent system to the Shuffled Frog Leaping Algorithm(SFLA).This algorithm fixes the agent on grid,with the competition and cooperation with its neighbors,and combining the evolution mechanism of the SFLA.Each agent unceasingly senses local environment,and gradually affects the whole agent grid,so that it enhances its adaptiveness to the environment.The agent also makes self-study by using its knowledge to enhance its adaptiveness to the environment.By the test of high dimension benchmark functions,the results illustrate this algorithm this algorithm can effectively maintain the diversity of the population,increase the precision of optimization,simultaneously,efficiently restrain the prematurity,and has higher optimization performance in the field of high dimension functions optimization.