改进人工鱼群算法在配电网网架规划的应用

针对配电网网架规划组合优化复杂性的问题，在网架规划中以人工鱼群算法的寻优框架为基础进行优化。针对人工鱼群算法自身上的不足，对人工鱼群的行为中觅食、集群和追尾等行为进行改进。以网络年综合费用最小为优化目标建立了配电网网架规划的数学模型，并利用改进后的人工鱼群算法求得该模型的优化解，并与遗传算法及粒子群算法等做对比。实验结果表明了该改进的可行性和有效性。

Application of improved artificial fish-swarm algorithm in distribution grid structure planning

Aiming at the complexity of combinatorial optimization in distribution structure planning, it was effective to utilize artificial fish-swarm algorithm. Because of the disadvantages of artificial fish-swarm algorithm, the behavior like foraging and cluster had been im- proved. The mathematic model for distribution grid structure planning, where the optimization object was to minimize the annual cost, had been constructed. The model had been solved by revised artificial fish-swarm algorithm. The calculation results had been compared with genetic algorithm and particle swarm algorithm, which demonstrated the feasibility and effectiveness of this improvement.