基于多级协同MOEA/D的联合火力打击目标分配方法

doi:10.16182/j.issn1004731x.joss.201808015

系统仿真学报 ›› 2018, Vol. 30 ›› Issue (8): 2942-2949.doi: 10.16182/j.issn1004731x.joss.201808015

基于多级协同MOEA/D的联合火力打击目标分配方法

陈晖, 马亚平

国防大学公共平台中心,北京 100091

收稿日期:2016-11-02 出版日期:2018-08-10 发布日期:2019-01-08
作者简介:陈晖(1986-),男,湖北潜江,博士,研究方向为智能信息处理、系统工程;马亚平(1957-),男,湖北潜江,教授,博导,研究方向为系统仿真、作战模拟、系统体系结构。
基金资助:
全军军事类研究生资助课题(2015JY046)

Model of Target Assignment in Joint Fire Strike Operations

Chen Hui, Ma Yaping

Public Platform Center, National Defense University, Beijing 100091, China

Received:2016-11-02 Online:2018-08-10 Published:2019-01-08

摘要/Abstract

摘要： 将不同火力打击资源进行组合,并分配给打击目标,是筹划联合火力打击作战需要解决的关键问题之一。针对联合火力打击目标分配问题的特点,综合考虑打击顺序、毁伤等级、威胁、效费比、战损等因素,建立了联合火力打击目标分配问题的多目标优化模型。将MOEA/D和多级协同进化框架相结合,提出利用多级协同MOEA/D算法求解目标分配的多目标优化模型,并设计了相关的遗传进化机制。仿真结果表明,所提出的算法具有良好的收敛性和均匀性。

关键词: 联合火力打击, 目标分配, 多级协同进化, 多目标分解进化

Abstract: The assignment of firepower resources in combination to the target is one of the key problems in planning work of joint fire strike operations. According to the characteristics of joint fire strike target assignment problem, and synthetically considering the factors such as strike sequence, damage grade, threats, cost-effectiveness, damage, a multi-objective optimization model of target assignment problem is established. By combining the MOEA/D and the multi-level co-evolutionary framework, a multi-objective optimization model is proposed to solve the target assignment based on the multi-level cooperative MOEA/D algorithm, and the related genetic evolution mechanism is designed. The simulation results show that the proposed algorithm has good convergence and uniformity.

Key words: joint fire strike, target assignment, multi-level co-evolution, MOEA/D

中图分类号:

TP391

陈晖, 马亚平. 基于多级协同MOEA/D的联合火力打击目标分配方法[J]. 系统仿真学报, 2018, 30(8): 2942-2949.

Chen Hui, Ma Yaping. Model of Target Assignment in Joint Fire Strike Operations[J]. Journal of System Simulation, 2018, 30(8): 2942-2949.

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基于多级协同MOEA/D的联合火力打击目标分配方法

Model of Target Assignment in Joint Fire Strike Operations

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