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基于改进遗传算法的多弹型混合火力分配优化模型

李亚雄 刘新学 武健

指挥控制与仿真2017,Vol.39Issue(4):50-54,5.
指挥控制与仿真2017,Vol.39Issue(4):50-54,5.DOI:10.3969/j.issn.1673-3819.2017.04.011

基于改进遗传算法的多弹型混合火力分配优化模型

An Optimal Model of Multi Missile Hybrid Firepower Distribution Based on Improved Genetic Algorithm

李亚雄 1刘新学 1武健1

作者信息

  • 1. 火箭军工程大学, 陕西 西安 710025
  • 折叠

摘要

Abstract

In view of the characteristics of multi bomb type hybrid fire assignment problem, the decision variables, objective function and constraint conditions are studied. The general process based on genetic algorithm, the design rule of chromosome encoding, initial population and adaptive calculation method, function of degree of chromosome crossover and mutation meth-od, established the multi missile hybrid firepower allocation model. The simulation results show that the model has satisfacto-ry results in terms of computational reliability, computational efficiency and the richness of solution sets. It can provide a method of firepower allocation optimization for the multi-projectile mixed-fire combat operations.

关键词

遗传算法/混合火力/火力分配

Key words

genetic algorithm/hybrid firepower/firepower distribution

分类

军事科技

引用本文复制引用

李亚雄,刘新学,武健..基于改进遗传算法的多弹型混合火力分配优化模型[J].指挥控制与仿真,2017,39(4):50-54,5.

指挥控制与仿真

OACSTPCD

1673-3819

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