海军航空工程学院学报2017，Vol.32Issue(1)：121-128,166,9.DOI:10.7682/j.issn.1673-1522.2017.01.005
基于改进非支配排序遗传算法的维修资源优化配置
Optimal Configuration of Maintenance Resource Configuration Based on Improved Non-Dominated Sorting Genetic Algorithm
王文双 1赵建印 2赵建忠 2张鑫2
作者信息
- 1. 海军航空工程学院科研部,山东烟台264001
- 2. 海军航空工程学院兵器科学与技术系,山东烟台264001
- 折叠
摘要
Abstract
Aiming at the problems of resource conflict, shortage, resource requirement and available resource diversifica?tion in the maintenance support process, the multi-objective optimization models of resource static and dynamic configura?tion were built. To address the disadvantages of genetic algorithm, such as the large solution domain, slower convergence speed, and low computing efficiency, the constraint-based improved non-dominated sorting genetic algorithm (CINSGA-I) was raised. The example analysis results validated the effectiveness and superiority of the model and algorithm.关键词
武器装备/维修资源/资源配置/多目标进化算法/非支配排序遗传算法Key words
weapon equipment/maintenance resource/resource configuration/multi-objective evolutionary algorithm/non-dominated sorting genetic algorithm分类
军事科技引用本文复制引用
王文双,赵建印,赵建忠,张鑫..基于改进非支配排序遗传算法的维修资源优化配置[J].海军航空工程学院学报,2017,32(1):121-128,166,9.
