微变分混沌遗传算法在防空部队群火力优化分配中的应用

Shang Wenzhong, Pan Wei, Zhu Wenliang
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引用次数: 0

摘要

利用战场目标值和防空火力分布,建立了基于微变混沌遗传算法的防空部队群最优火力分配模型。该模型能发挥武器火力单元效率的最高点,实现最大的毁伤效果。步骤包括:采用实数编码,通过构建染色体创建原始群落;计算适应程度,检查原来的社区;对继承算法算子进行操纵,改进了对选举、交错、变异等操作。最后,对配电网的最优选择进行了计算,得出配电网方案的最优选择。考虑了每一代对算法的影响和每一代不同个体适应度的影响,提出了自适应交叉概率和自适应突变概率。
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The application of micro variation chaos genetic algorithm in optimum firepower distribution for caboodle of air defense force
Optimum firepower distribution model for caboodle of air defense force based on micro variation chaos genetic algorithm is established by using the battlefield object value and air defense firepower distribution. The model can exert the highest point of firepower unit efficiency of weapon and realize the most damage effect. The steps includes adopting real number to code, creating original community through building chromosome; calculating the degree of adaptation, checking out the original community; manipulating the inherit algorithm operators and ameliorating the manipulation of election, chiasmic, variation and so on. At last, calculate the optimum selection and find out the optimum select of distributive project. The adaptive crossover probability and adaptive mutation probability are proposed, which consider the influence of every generation to algorithm and the effect of different individual fitness in every generation.
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