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。
参考来源 - 基于蚁群算法的配电网无功电源规划·2,447,543篇论文数据，部分数据来源于NoteExpress
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。
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