摘要
处理了如何从具有复杂关联和多种约束的目标集中选择目标的问题。首先,对目标集的组成结构和目标间的相互关联关系进行了描述,并分析了目标选择的两种约束类型,建立了多约束多关联条件下的目标选择模型。然后使用惩罚函数将多约束目标选择问题转化为无约束问题,给出了用遗传算法求解模型的方法步骤。最后通过案例表明,该方法结果稳定,优化效果好,能够在目标间具有复杂关联的条件下为军事人员进行目标选择决策提供有效的辅助。
This article deals with target selecting from the target set having complex relation and multiple contraints. Firstly,the structure of the target set and the relation among the targets of the set are described,and the two kinds of target selecting constraints are analyzed,and the target selecting model under multi-constraint and multi-relation is constructed. Secondly,the punishment function is used to transform the multi-constraint target selecting problem into an unconstrained problem,and a method based on the genetic algorithm is presented to solve the model. Finally,an instance demonstrates that the method has steady and good effect,and can provide assurance for target selecting decision making under the conditions of complex relations among targets.
出处
《火力与指挥控制》
CSCD
北大核心
2014年第1期9-12,共4页
Fire Control & Command Control
基金
国家自然科学基金资助项目(71001105
91024006)
关键词
目标选择
结构
模型
遗传算法
target selecting
structure
model
genetic algorithm
