一种结合多样性策略的自适应粒子群优化算法

提出一种结合多样性策略的自适应粒子群优化算法,该算法在粒子群的全局优化过程中,使用根据种群搜索状态自适应调整邻域空间的局部搜索算法加强算法的局部搜索能力,并允许非优粒子具有引导种群搜索方向的可能性.在著名基准函数上的对比实验结果表明,这种混合粒子群优化算法能获得更高的搜索成功率和质量更好的解,特别在高维多峰函数优化上表现出较强的竞争力.

Adaptive Particle Swarm Optimization with Diversity Strategy

In this paper,an adaptive particle swarm optimization algorithm combined with diversity strategy is proposed.During the searching process,the local search operator that can vary the size of the search area adaptively in response to the state of the population is used to enforce the local search ability of particle swarm,and a non-optimal particle may guide the search direction of the swarm.The performance of the algorithm is validated on many benchmark functions,and the results show that this method can ach...