【摘要】 将进化多Agent系统引入多目标优化问题求解,通过Agent的局部搜索机制及Agent种群的协同进化机制来寻求Pareto最优解。在设计的进化算法当中借鉴了人工生命系统中的一些基本方法,如能量、小生境和迁移机制等。实例表明通过该进化算法求得Pareto最优解集具有很高的效率。更多还原

【Abstract】 An evolutionary multi-agent algorithm is proposed to search Pareto solutions to Multi-objective optimization problem.Characteristic of this algorithm is local selection of Agent and inter-Agent evolutionary cooperation.Some techniques used in artificial life system,including energy,niche and emigration,are incorporated in this evolutionary algorithm.A lot of tests show Pareto set can be obtained through using this evolutionary algorithm efficiently.更多还原