摘要
为提高电力机车二系支承载荷调整优化算法的实用性,解决单一目标遗传算法调整计算产生二系支承点加垫数和加垫总量过多的问题,提出了一种基于多目标遗传算法的寻优方法。针对机车二系调簧问题的偏好结构特点,建立了多目标优化模型,并设计了基于多目标遗传算法的调簧目标函数,进一步引入了适应性权重方法来确定目标函数值,并确立了相应的适应度评价和分配方法。对国产SS3b和HXD1B型机车的应用结果表明:该方法不仅能够优化二系载荷分布,而且可控制加垫量减少约48%,显著提高了调簧算法的实用性和可靠性。
In order to improve the practicability of optimization algorithm for locomotive secondary spring load adjustment, and to solve the problem of excessive gasket quantity generated by single - objective genetic algorithm, a method based on muhi - objective genetic algorithm was presented. The multi - objective optimization model was built according to the preference structure of the problem, and the spring adjustment objective function was designed based on multi - objective genetic algorithm, the adaptive weight approach was introduced further to ob- tain the objective function value, the relevant method of fitness evaluation and distribution was also established. Results of the application to SS3b and HXD1B locomotives show that the new approach has the capability to re- duce the gasket quantity by 48% as well as optimize the secondary load distribution, the availability and reliability of the spring adjustment algorithm is enhanced significantly.
出处
《铁道科学与工程学报》
CAS
CSCD
2011年第2期76-80,共5页
Journal of Railway Science and Engineering
关键词
多目标遗传算法
机车二系载荷
适应性权重方法
multi -objective genetic algorithm
locomotive secondary spring load
adaptive weight approach
