某些实际问题的优化目标是求所有的局部最优解, 即求解多峰寻优问题, 为了求解多峰优化问题, 提出了改造的微粒

群优化算法. 尽量减少微粒群算法中的全局因素, 从而增大其局部因素, 同时采用变步长方法增加微粒的多样性. 并给出了该算法

的原理和步骤. 仿真实验表明该算法概念清楚, 计算简单, 具有很好的局部寻优特性, 可应用求解于多峰寻优问题. 另外还给出了几

个运算实例和与其它优化算法的比较.-Some of the practical problems the optimization goal is to get all the local optimal solution, that is, solving the multimodal optimization problem, in order to solve the multimodal optimization problem, a modified particle swarm optimization algorithm. PSO algorithm to minimize the global factors thereby increasing the local factors, while increased use of variable step method for the diversity of particles. and gives the principles and steps of the algorithm. Simulation results show that the algorithm is the concept of clear, simple calculation, with good local search features can be applied to solve the multimodal optimization problem. It also gives examples of several operations and with other optimization algorithms.