【摘要】 首先对Tent混沌序列加以改进,将其引入粒子群算法中;然后提出一种基于改进的Tent映射的粒子群算法.采取分阶段更新的优化策略,使其在搜索初期更具遍历性,在搜索后期,通过人为更替最差粒子的速度和位置,使算法具有更快的收敛速度与更好的全局搜索能力.构建一种资源配置结构优化模型,并将改进的Tent映射粒子群算法引入资源配置结构优化决策中,在寻优速度、精度和成功率等方面均显示出良好的优化效果.更多还原

【Abstract】 The random function is introduced to Tent map,and the improved Tent map is introduced to particle swarm optimization(PSO).At the initial searching stage,the improved Tent PSO has better ergodicity.At the later stage,the algorithm has faster convergence speed and better global search capability through changing the particles’ speed and position.The improved Tent PSO and the standard PSO are compared with each other in the speed,accuracy and successful ratio of searching.The improved Tent PSO is applied to the structure optimization of resources allocation,and the simulation result shows better optimization function.更多还原