摘要
为了加快粒子群算法收敛速度、提高粒子群的全局优化效率和精确度从而避免陷入局部最优解,提出了一种改进型的基于质心的粒子群优化算法模型,该模型能有效地提高粒子群之间的合作和信息共享能力。仿真结果表明基于"质心"的改进型粒子群优化算法在收敛性方面具有显著优越性。
In order to improve convergence speed and improve global optimum efficiency and accuracy of parti- cle swarm optimization (PSO) so as to avoid falling into local optimal solution, an improved particle swarm optimi- zation algorithm based on centroid(CPSO) is presented, which can enhance inter-particle cooperation and informa- tion sharing capabilities effectively. Simulation results show that CPSO in convergence with significant advantazes.
出处
《科学技术与工程》
北大核心
2013年第11期3109-3112,共4页
Science Technology and Engineering
基金
河南省科技攻关项目(102102210511)资助
关键词
粒子群算法
质心
权重调节因子
全局优化
particle swarm optimization algorithm centroidzationweight adjustment factorglobal optimi zation