基于改进人工鱼群算法的输电塔塔腿拓扑优化

摘要

In order to solve the structural optimization problem of transmission tower legs,a topology optimization method based on artificial fish-swarm algorithm (AFSA)was presented.First the calculation model of the topology optimization of transmission tower legs was established.Topology variable optimization rules were proposed.Then,an artificial fish-swarm algorithm was utilized to optimize the transmission tower legs.Considering the optimization results of simple AFSA were not very good,two kinds of improved strategies:position formula with dynamic visual and step, acceleration strategy,were presented.Simulation results show that the simple AFSA and the improved AFSA can optimize the transmission tower legs.The optimization results of the improved AFSA method are obviously better than those of the simple AFSA and the difference quotient algorithm.%为了解决输电塔塔腿的优化问题，提出了基于改进人工鱼群算法的拓扑优化方法。建立了输电塔结构拓扑优化的计算模型，采用罚函数形式确定了人工鱼群算法的目标函数，并提出了拓扑变量的判定规则。采用人工鱼群算法对输电塔塔腿进行了拓扑优化研究。考虑到基本人工鱼群算法易陷入局部优化解，提出了视野和步长的变化策略，以及觅食行为的加速策略。数值算例结果表明，采用基本人工鱼群算法可以较好的优化输电塔塔腿，而在此基础上利用改进人工鱼群算法可以更有效地优化输电塔塔腿，并且其优化效率明显优化基本人工鱼群算法和差商算法。