该算法通过将整个搜索空间分割成若干子空间，在这些子空间上利用嵌入零搜索算子的微粒群算法进行优化。
The algorithm divides the whole search space into a number of sub-spaces, which are optimized by utilizing the PSO embedded zero search operators.
该算法能克服基本微粒群优化算法精度较低，易发散的缺点，有较高的搜索效率。
This algorithm can solve the problem of low precision and divergence of basic particle swarm optimization algorithm, so it has higher efficiency of search.
蚁群算法是受自然界蚂蚁觅食过程中，基于信息素的最短路径搜索食物行为启发，提出的一种智能优化算法。
Ant Colony Algorithm (ACA) is an intelligence-optimized algorithm coming from the illumination of food-seeking behavior by ants based on the shortest route of daumone.
最后将粒子群算法和禁忌搜索算法思想引入到蚁群算法中，用于求解拉闸限电序位优化问题。
The particle swarm optimization algorithm and the Ant Colony Optimization are employed to develop a hybrid stochastic searching algorithm.
基于蚁群进化算法，蚁群算法连续空间优化搜索扩展。
Based on ant colony evolutionary algorithm, a colony algorithm is extended for searching continuous space optimization.
基于蚁群进化算法，蚁群算法连续空间优化搜索扩展。
Based on ant colony evolutionary algorithm, a colony algorithm is extended for searching continuous space optimization.
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