摘要
介绍了用遗传和模拟退火组合算法来制定大力发电机组检修计划的方法，该算法以生产费用和检修费用之和最小为优化目标。文中给出了一种用位串对检修计划进行编码和解码的有效方法，并考虑了检修中可能出现的约束条件。算例说明了该算法的可行性。
This paper introduces a genetic algorithm combined with simulated annealing approach to decide the thermal unitmaintenance scheduling with minimum cost including production and maintenance. Practical maintenance constraints areconsidered through penalty function. Combined with sirnulated annealing approach. the genetic algorithm is improved. Theeffectiveness of the approach is demonstrated by applying it to a practical system.
出处
《电力系统自动化》
EI
CSCD
北大核心
1998年第7期44-46,共3页
Automation of Electric Power Systems
关键词
检修计划
遗传算法
模拟退火算法
发电机组
thermal power plant maintenance scheduling genetic algorithm simulated annealing approach
