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粒子群算法在武器装备保障资源优化中的应用
引用本文:张凯,赵国荣,姜静. 粒子群算法在武器装备保障资源优化中的应用[J]. 兵工自动化, 2010, 29(1): 20-23. DOI: 10.3969/j.issn.1006-1576.2010.01.006
作者姓名:张凯  赵国荣  姜静
作者单位:海军航空工程学院,控制工程系,山东,烟台,264001;海军航空工程学院,控制工程系,山东,烟台,264001;海军航空工程学院,控制工程系,山东,烟台,264001
摘    要:为简单方便地实现武器装备保障资源优化,采用粒子群优化算法求解资源约束项目调度问题。具体方法主要包括:确定不违反前后约束的活动进行次序、确定资源约束项目调度问题的解空间、确定修复策略、计算粒子适应度。同时,编制了粒子群优化程序,对某型武器装备技术保障资源进行了优化。优化结果有助于保障资源合理配置,对提高装备战斗力有重要的军事价值。

关 键 词:资源约束项目调度问题  粒子群优化算法  资源优化
收稿时间:2010-03-02

Application of PSO in Weapon Equipment Safeguard Resource Optimization
ZHANG Kai,ZHAO Guo-rong,JIANG Jing. Application of PSO in Weapon Equipment Safeguard Resource Optimization[J]. Ordnance Industry Automation, 2010, 29(1): 20-23. DOI: 10.3969/j.issn.1006-1576.2010.01.006
Authors:ZHANG Kai  ZHAO Guo-rong  JIANG Jing
Affiliation:Dept. of Control Engineering;Naval Aeronautical & Astronautical University;Yantai 264001;China
Abstract:To simplify weapon equipment safeguard resource project optimization, particle swarm optimization (PSO) algorithm was chosen to solve the resource-constrained project scheduling problem (RCPSP). The determinations of activities sequence with relation constraint, the solution space of RCPSP and the repair strategy and the calculation of particle fitness were introduced in detail. Application to a certain type of weapon equipment safeguard resource project optimization example using the PSO program given show...
Keywords:RCPSP (Resource-Constrained Project Scheduling Problem)  PSO (Particle Swarm Optimization)  Resource optimization
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