摘要
分析了影响维修力量抽调决策的因素,对装备维修力量的抽调问题进行了数学描述,建立了一种基于灰色关联度的多目标优化模型。针对装备维修力量抽调的非线性多目标优化问题,提出了基于单亲遗传算法的求解方法,该算法用换位算子取代了传统的交叉、变异算子,但仍然保持了他们的进化功能。通过仿真算例分析表明,该方法可有效求解多目标的保障力量抽调问题。
The factors that influence the decision of maintenance force dispatching are analyzed,and the mathematical description of equipment maintenance force dispatching is developed.Aimming at the multi-objective nonlinear optimization problem,multi-objective decision model of maintenance force dispatching is built.An algorithm based on grey relational degree is proposed.Traditional mutation and crossing operators are replaced by exchange operator,but the evolution function is still kept.The analysis of practical simulation suggests that this method can solve the multi-objective dispatching problem feasible.
出处
《指挥控制与仿真》
2011年第6期40-44,共5页
Command Control & Simulation
关键词
装备维修力量
抽调
多目标优化
单亲遗传算法
equipment maintenance force
dispatching
multi-objective optimization
parthenon genetic algorithm
