Improved Particle Swarm Optimization Algorithm for the Stochastic Loader Problem

摘要：

In this paper, the stochastic loader problem is proposed based on the determinate loader problem. For finding the optimal solution, a new particle swarm optimization (PSO) algorithm that combines crossover operators and penalty functions is developed. Comparing with the basic PSO and some other optimization algorithms, this improved PSO algorithm can get better convergence efficiency and higher solution precision. Numerical examples are presented to illustrate the model.

作者: ZHAO Pei-xin

作者单位: Shandong University, China

会议类型: 国际会议

会议名称: 2nd IEEE Conference on Industrial Electronics and Applications(ICIEA 2007)(第二届IEEE工业电子与应用国际会议)

会议地点: 哈尔滨

会议语种:英文

在线出版日期: 2007-05-23（万方平台首次上网日期，不代表论文的发表时间）