计算机技术与发展2012，Vol.22Issue(8)：85-88,4.
基于邻域混沌PSO算法的目标分配优化方法
Targets Assigmnent Approach Based on Neighborhood Chaos Searching Particle Swarm Optimization
摘要
Abstract
To conquer the limitation of basic particle swarm optimization (PSO} ,which has low convergence precision and easily runs into local extremum when solving targets assignment problems, an algorithm based on Chaos PSO {CPSO) is introduced. By taking global strike efficiency, strike match degree and risk probability into account, the mathematic model of targets assignment problems are analyzed, the encoding method , updating strategy and validity correcting art designed , whereas a chaos optimization search method nearby optimum particle is introduced. Lastly, the simulation results indicate the performance of proposed CPSO, which is obviously superior to basic PSO and mutation PSO.关键词
目标分配/粒子群算法/混沌优化/有效性修订Key words
target assignment/ particle swarm optimization/ chaos optimization/ validity correcting分类
信息技术与安全科学引用本文复制引用
欧微,焦丽萍,陈平,易朝晖..基于邻域混沌PSO算法的目标分配优化方法[J].计算机技术与发展,2012,22(8):85-88,4.基金项目
军队重点项目(编号略) （编号略）
