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基于改进蚁群算法的舰载机弹药调度
引用本文:马登武,郭小威,邓力. 基于改进蚁群算法的舰载机弹药调度[J]. 系统仿真学报, 2012, 24(6): 1207-1211
作者姓名:马登武  郭小威  邓力
作者单位:1. 海军航空工程学院兵器科学与技术系,烟台,264001
2. 海军航空工程学院研究生管理大队,烟台,264001
摘    要:针对舰载机弹药调度供求点多、批次量大等特点,通过分析限制因素,建立了调度方案求解模型。利用蚁群算法对方案模型求解,提出了具体实现算法,每次循环对信息素进行变异调整,并通过引入遗传算法的精英保留和交叉运算操作思想,克服了基本蚁群算法搜索时间长、易陷入局部最优解等缺陷。数值仿真结果验证了调度模型的正确性,以及改进蚁群算法的有效性。

关 键 词:弹药调度  蚁群算法  信息素调整  精英策略  交叉算子

Ammunition Scheduling of Carrier-based Aircraft Based on Modified Ant Colony Algorithm
MA Deng-wu,GUO Xiao-wei,DENG Li. Ammunition Scheduling of Carrier-based Aircraft Based on Modified Ant Colony Algorithm[J]. Journal of System Simulation, 2012, 24(6): 1207-1211
Authors:MA Deng-wu  GUO Xiao-wei  DENG Li
Affiliation:1.Naval Aeronautical and Astronautical University Department of Ordnance Science and Technology,Yantai 264001,China; 2.Naval Aeronautical and Astronautical University Graduate Students’ Brigade,Yantai 264001,China)
Abstract:A model of ammunition scheduling scheme of carrier-based aircraft was built up by analyzing the limited factors,aiming at many providers and generous requires.Ant colony algorithm was put forward to solve the scheduling model,and its realization flow was proposed.Adjusting the pheromone with mutation after every cycle and introducing the elitist strategy and crosser of genetic algorithms successfully overcame some limitations of the simple ant colony algorithm such as long searching time and falling into the local optimization.Simulation result indicates the scheduling model is correct,and modified ant colony algorithm is effective.
Keywords:ammunition scheduling  ant colony algorithm  pheromone adjusting  elitist strategy  crosser
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