基于改进蚁群算法的变电站设备巡检路线优化研究

Study on the Route Optimization of Substation Equipment Inspection Based on Improved Ant Colony Algorithm

变电站设备巡检路线优化问题是一个典型的组合优化问题,随着设备间隔数量增加,该问题的求解结果会呈现指数级增加,造成求解过程越来越复杂。为了快速求解该问题,提出了改进蚁群算法。该算法自适应调整信息素挥发系数,并限制信息素强度,提高了算法的探索精度和运行速度。MATLAB仿真实例表明:改进蚁群算法高效可行,能快速地求解变电站设备巡检路线优化问题。

The route optimization problem of substation equipment inspection is a typical combinatorial optimization problem.With the increasing number of equipment intervals,the solutions of the problem will increase exponentially,which makes the solving process more and more complex.In order to solve the problem quickly,an improved ant colony algorithm is proposed.The algorithm can adaptively adjust the volatility coefficient of the pheromone and restrict the intensity of the pheromone,which improves the searching accuracy and operation speed of the algorithm.The MATLAB simulation example shows that the improved ant colony algorithm is efficient and feasible which can quickly solve the route optimization problem of substation equipment inspection.