基于莱维飞行的热交换优化算法

Thermal Exchange Optimization Algorithm Based on Levy Flight

笔者提出基于莱维飞行的热交换优化算法。热交换优化算法结构简单,容易实现,但其解决高维函数时寻优能力较弱。为了解决这个问题,在热交换优化算法中引入了莱维飞行策略,增加热交换优化算法的温度扩算速率,使其能够跳出局部最优问题。通过对6个标准函数的实验,基于莱维飞行的热交换优化算法有着较好的寻优能力,并且减少了算法的运行时间。

In this paper, thermal exchange optimization (TEO) algorithm based on Levy flight is proposed. TEO algorithm is simple to deconstruct and easy to realize, but its ability to solve high-dimensional functions is weak. In order to solve this problem, Levy flight strategy is introduced in TEO algorithm to increase the temperature expansion rate, so that it can jump out of the local optimal problem. Through six standard function experiments, it is found that TEO algorithm based on Levy flight has better optimization ability and reduces the running time of the algorithm.