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兵工学报 ›› 2016, Vol. 37 ›› Issue (1): 97-102.doi: 10.3969/j.issn.1000-1093.2016.01.015

• 论文 • 上一篇    下一篇

改进的遗传算法求解火力分配优化问题

董朝阳1, 路遥1, 王青2   

  1. (1.北京航空航天大学 航空科学与工程学院, 北京 100191; 2.北京航空航天大学 自动化科学与电气工程学院, 北京 100191)
  • 收稿日期:2015-06-10 修回日期:2015-06-10 上线日期:2016-03-23
  • 作者简介:路遥(1987—),男,博士研究生
  • 基金资助:
    国家自然科学基金项目(61273083、61374012)

Improved Genetic Algorithm for Solving Firepower Distribution

DONG Chao-yang1, LU Yao1, WANG Qing2   

  1. (1.School of Aeronautic Science and Engineering, Beihang University, Beijing 100191, China;2.School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China)
  • Received:2015-06-10 Revised:2015-06-10 Online:2016-03-23

摘要: 提出一种求解火力分配优化问题的改进遗传算法。基于目标函数的相对大小构造适应度函数,较传统的界限构造法更加显著地体现染色体之间的差异,使得优良染色体更容易被选中,从而提高算法的收敛精度。采用基于父代染色体相似度的启发式遗传算子优化遗传运算,灵活、有针对性地对父代染色体进行交叉或变异操作,在防止算法陷入局部最优的同时保证种群的更新速度。仿真实验对比结果分析表明所设计的改进算法具有更高效的寻优能力。

关键词: 兵器科学与技术, 整数规划, 火力分配, 遗传算法, 适应度函数

Abstract: An improved genetic algorithm for solving firepower distribution is proposed. The fitness function is constructed based on relative value of objective function. Compared with the conventional finitude construction method, this measure can incarnate the differences among the chromosomes more significantly and the fine chromosomes are selected more easily, thus improving the convergence precision of algorithm. The heuristic genetic operator based on the similarity of father chromosomes is used to optimize the genetic operation and do crossover or mutation to the father chromosomes with agility and pertinence. It can prevent the local optimization and guarantee the optimization speed of population. The contrast results of simulation examples show that the improved algorithm have more efficient search ability.

Key words: ordnance science and technology, integer programming, firepower distribution, genetic algorithm, fitness function

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