机组检修计划优化模型及改进蚁群算法求解

摘要

Based on the background of traditional optimized generator maintenance model, one kind of new optimized generator maintenance model is established. As the fact that ant colony algorithm has the characteristic of slow convergence and easily falling into local optimum, by using fuzzy control rules. The ant colony algorithm is improved .This improved algorithm is applied to the proposed optimized generator maintenance model. As a result, simulation algorithms and models can achieve good results.%根据传统发电机组检修计划优化的背景,建立了考虑经济性与技术性的新的检修计划优化模型,并根据蚁群算法收敛速度慢,易于陷入局部最优的缺点,通过模糊控制规则对蚁群算法影响信息素更新方式的两个参数进行动态变换,使其满足在蚁群搜索过程的不同状态下自适应调整,以影响收敛速度和搜索状态,并将改进算法应用到文中提出的机组检修计划优化模型,仿真验证改进算法及模型可取得良好效果.