【摘要】 微粒群算法是移动计算主体与群体的选择中,符合智能计算,以群体为操作单元的一种演化方法。它起源于对简单社会系统的模拟,由单一个体组成的群体与环境以及个体之间的互动行为,从而产生可预测的群体行为,这种方法优化了个体的行为策略。研究了微粒群优化算法,指出了该算法的研究进展,以此启发更深入的理论和应用研究。更多还原

【Abstract】 The particle swarm optimization is an evolvement that accords with the intelligent computing and is based on colony as the operating unit in the mobile computing main body and colony selecting.It came of the imitation of simple society system.It can forecast the colony behavior from the environment,the mutual beha-vior among individuals and the colony that consists of individuals.This method optimizes the individual’s behavior strategy.The paper discusses and studies the particle swarm,points out its development.It can elicit further theoretical and practical studies in more territories.更多还原