This paper proposes a particle swarm optimization based on local and global combined search.
提出一种基于局部与全局搜索相结合的粒子群算法。
To generate the velocity schema curve of optimization operation for train, a computation model combined local optimization with global optimization is proposed.
以仿真计算获得局部优化规律，用神经网络实现局部优化规律的数据组织，应用遗传算法进行全局优化计算，获得了令人满意的结果。
This method can combined local optimization with global optimization.
这种方法将局部优化和全局优化统一起来。
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