Collaborative Multi-objective Particle Swarm Optimization and its Application in Distribution Network Expansion Planning
Distribution network expansion planning is a complex multivariate constrained nonlinear integer optimization problems. In order to overcome the problems such as long computing time and easy to fall into local best solutions for particle swarm optimization, a collaborative multi-objective particle swarm Optimization algorithm is proposed to solve distribution network expansion planning. Experimental results show that the algorithm is feasible and effective in distribution network expansion planning.
distribution network expansion planning particle swarm optimization collaborative
Wu Kai-jun Wang Tie-jun
Department of Electronic and Information Engineering LanZhou JiaoTong University Lanzhou, China Department of Science and Information Engineering Northwest University for Nationalities Lanzhou, Ch
国际会议
成都
英文
535-538
2010-12-17(万方平台首次上网日期,不代表论文的发表时间)