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基于粒子群优化的多智能体协作进化方法
引用本文:马子鹏. 基于粒子群优化的多智能体协作进化方法[J]. 机床与液压, 2015, 43(9): 39-41
作者姓名:马子鹏
作者单位:西安邮电大学自动化学院,陕西西安,710121
基金项目:陕西省自然科学基础研究计划项目
摘    要:提出了一个用粒子群算法解决多智能体协作进化的方法,设计了多智能体协作的粒子表示方法,给出了基于粒子群算法的多智能体协作推箱子的仿真实例。仿真结果表明:基于粒子群算法的多智能体协作进化能够适应新任务的动态变化,说明粒子群优化算法是实现多智能体协作进化行之有效的方法。

关 键 词:粒子群优化  多智能体  协作进化  路径规划

Multi-agent Intelligence Cooperative Evolution Method Based on Particle Swarm Optimization
MA Zipeng. Multi-agent Intelligence Cooperative Evolution Method Based on Particle Swarm Optimization[J]. Machine Tool & Hydraulics, 2015, 43(9): 39-41
Authors:MA Zipeng
Abstract:A multi-agent intelligence cooperative evolution method based on the solution of particle swarm optimization (PSO) was proposed. The particle representation of multi-agent intelligence cooperative evolution was designed. A simulation experiment of moving the box based on this method was achieved. The simulation results show that the method of PSO is an efficient and feasible to realize multi agent intelligence cooperative evolution, which can adapt to dynamic changes of new tasks.
Keywords:Particle swarm optimization  Multi-agent intelligence  Cooperative evolution  Motion planning
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