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面向能力需求的武器装备组合规划模型与算法

发布时间:2018-10-15 11:07
【摘要】:针对武器装备组合规划中存在的选择难、规划难问题,在给定能力需求的条件下,从分析装备的组合变更对整体体系的影响出发,考虑了总的经费预算、年度费用分配、装备规划周期等约束,以能力差距和发展风险最小为准则,构建了双目标优化模型,并设计了基于差分进化和非支配排序的遗传算法的求解算法,获得模型的Pareto解。通过逼近理想解排序法方法从所求Pareto解中求得令决策者满意的折中解。通过一个具体示例验证了模型和算法的有效性,能够为武器装备组合规划提供辅助决策。
[Abstract]:In view of the difficult selection and planning problems in weapon and equipment combination planning, under the condition of given capability requirement, the total budget and annual cost allocation are considered in order to analyze the influence of the change of equipment combination on the whole system. Based on the constraints of equipment planning cycle and taking the capability gap and the minimum development risk as the criterion, a two-objective optimization model is constructed, and a genetic algorithm based on differential evolution and non-dominated ordering is designed to obtain the Pareto solution of the model. By using the method of approximating the ideal solution, a compromise solution which is satisfactory to the decision maker is obtained from the Pareto solution obtained. A concrete example is given to verify the validity of the model and the algorithm, which can provide auxiliary decision for weapon and equipment combination planning.
【作者单位】: 国防科技大学信息系统与管理学院;
【基金】:国家自然科学基金资助项目(71501182;71571185)
【分类号】:E92;TP18

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