Results of calculation examples show that the solution of MPSO algorithm possesses more advantages than other algorithms.
算例结果表明本文提出的算法比其他算法更具有优越性。
The MPSO employs local version constriction factor method and global version inertia weight method simultaneously to achieve relatively high performance.
MPSO同时采用局部模式压缩因子方法和全局模式惯性权重方法以获得相对较高的性能。
By means of the idea of parallel search, the detailed procedure of the MPSO algorithm is given for solving vehicle scheduling problem with soft time Windows.
根据多相粒子群并行搜索的思想，给出mpso算法在带软时间窗物流配送车辆调度路径优化的实现流程。
By means of the idea of parallel search, the detailed procedure of the MPSO algorithm is given for solving vehicle scheduling problem with soft time Windows.
根据多相粒子群并行搜索的思想，给出mpso算法在带软时间窗物流配送车辆调度路径优化的实现流程。
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