基于粒子群优化的多智能体协作进化方法

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。

Multi-agent Intelligence Cooperative Evolution Method Based on Particle Swarm Optimization

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.