In part three, the paper USES improved ant colony search algorithm to solve the problem of reactive power supply programming.
第三部分针对配电网无功电源规划的数学模型，应用改进蚁群算法进行求解。
It adopts 2-interchange mutation operator in ant colony algorithm to increase its ability of local search and to improve the quality of the solution.
该算法通过在蚁群算法中引入遗传算法的2 -交换变异算子，增强了算法的局部搜索能力，提高了解的质量。
Resource search is a popular application area of P2P networks and the ant colony algorithm (ACA) is a heuristic approach inspired by the foraging behavior of real ants.
资源搜索是P2P网络应用领域中最为广泛的问题，蚁群算法是受到自然界中真实的蚂蚁集体行为的启发而提出的一种算法。
Combining PSO and ACS, the proposed algorithm can effectively avoid the local optima of PSO algorithm and the blindness search of ant colony algorithm.
该算法通过在粒子群算法中引入蚂蚁算法，可有效克服粒子群算法后期的局部搜索能力差和蚁群算法前期盲目搜索的缺陷。
In this algorithm, target individuals which led the ant colony to do global rapid search were determined by dynamic and stochastic extraction and the current optimal ant searches in small step nearly.
该算法采用动态随机抽取的方法来确定目标个体，引导蚁群进行全局的快速搜索，同时在当前最优蚂蚁邻域内进行小步长的局部搜索。
The basic theory of ant colony algorithm is applied to shortest path search in the logistics network of distribution for reducing the cost of logistic distribution.
将蚁群算法的基本原理用到物流配送网最短路径搜索中，对降低配送成本有重要意义。
An improved Ant Colony Algorithm (ACA) is presented that can be used to search shortest grinding path for the grinding machine and the grinding path optimization mathematical model is given.
提出一种适用于钢坯修磨轨迹优化问题的改进蚁群算法，给出一种修磨轨迹优化问题的实用数学模型。
We made improvement to the search mechanism of the traditional Ant Colony Algorithm(ACA), put forward a Random Ant Colony Algorithm(RACA), and applied it in air combat decision.
用其他随机优化算法（模拟退火算法、遗传算法、进化规划等）与免疫算法进行了比较研究，给出了他们的异同点、免疫算法的优点等。
We made improvement to the search mechanism of the traditional Ant Colony Algorithm(ACA), put forward a Random Ant Colony Algorithm(RACA), and applied it in air combat decision.
用其他随机优化算法（模拟退火算法、遗传算法、进化规划等）与免疫算法进行了比较研究，给出了他们的异同点、免疫算法的优点等。
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