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。
A novel method based on modified particle swarm optimization (IPSO) with mutation algorithm was proposed to optimize water quantity in secondary cooling process in the continuous slab casting.
提出了一种基于带有变异算子的改进粒子群算法对二冷区水量进行优化的新方法。
Secondly we propose a modified particle swarm optimization to arrange customers visiting sequences for every vehicle.
然后，运用改进的粒子群算法分派并优化配送线路。
Secondly we propose a modified particle swarm optimization to arrange customers visiting sequences for every vehicle.
然后，运用改进的粒子群算法分派并优化配送线路。
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