...对粒子群算法优化速度慢、早熟现象明显等问题,对粒子群算法进行改进,提出改进粒子群算法(modified particle swarm optimization,M-PSO)。通过引入人口迁移的思想,在保证算法收敛性的同时,使M-PSO算法具有良好的优化速度和优化效果。
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In this paper, a modified particle swarm optimization method is proposed.
提出了改进的粒子群优化算法。
A path planning approach based on a modified particle swarm optimization (PSO) is presented for mobile robot in known static environments.
提出了基于一种改进微粒群优化算法的移动机器人在已知环境信息下的路径规划方法。
In this paper, a modified particle swarm optimization algorithm is presented to solve knapsack problem, and the detailed realization of the algorithm is illustrated.
本文提出了改进的粒子群算法求解背包问题，阐明了该算法求解背包问题的具体实现过程。
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