多智能体粒子群算法在配电网络重构中的应用

结合多智能体的学习、协调策略及粒子群算法，提出了一种基于多智能体粒子群优化的配电网络重构方法。该方法采用粒子群算法的拓扑结构来构建多智能体的体系结构，在多智能体系统中，每一个粒子作为一个智能体，通过与邻域的智能体竞争、合作，能够更快、更精确地收敛到全局最优解。粒子的更新规则减少了算法不可行解的产生，提高了算法效率。实验结果表明，该方法具有很高的搜索效率和寻优性能。

Application of Multi-Agent Particle Swarm Algorithm in distribution network reconfiguration

Combining the study of multi-agent technology,coordinating strategies with PSO,a Multi-Agent Particle Swarm Opti-mization(MA-PSO) algorithm is presented to handle distribution network reconfiguration problem.It applies Von Neuman architecture of Particle Swarm Optimization algorithm to the composition of multi-agent system.An agent in MA-PSO represents a particle to PSO and a candidate solution to the optimization problem.In order to decrease fitness value quickly,agents compete and cooper-ate with their ag...