卫星装配序列规划的智能优化算法研究

Improved Intelligent Optimization Algorithm Library for Assembly Sequence Planning of Satellites

结合单个算法的优缺点,文章提出了一种用包含多种改进型智能优化算法的算法库(IIAL)来解决卫星装配序列规划问题的方法。算法库由算法向导和多种算法组成,算法向导可依据若干参数描述给出适合当前规划任务的最合适算法,规划人员可依据向导建议在遗传算法、粒子群算法、蚁群算法、模拟退火算法中选择相应算法进行求解。最后,用实例验证了方法的合理性。该方法可为星上设备装配序列规划提供参考。

Considering the disadvantages of single algorithm, an approach to resolve assembly sequence planning problem of satellites with improved intelligent optimization algorithm library （IIAL） is proposed. The IIAL is composed of an algorithm advisor and several improved algorithms. The most suitable algorithm will be obtained to assembly planners by the algorithm advisor according to the description of the assembly planning problems. Assembly planners can chose one of then to solve the problem. Finally,an illustrative example is given to verify the rationality of the algorithms suggested by the IIAL. The approach could be useful for equipment assembly sequence planning on the satellite.