摘要
探讨并建立了兵力分配问题的数学模型,提出了运用混合遗传算法分配兵力的方法。该方法在引入粒子群算法的社会信息共享机制的基础上,通过采取交叉、变异概率正切递增和最差个体随机变异的改进策略,以达到兵力分配效能最优的目的。实验结果表明,该算法较常规遗传算法有一定的改进,可为指挥员做出科学、有效的决策提供支持。
The problem regarding the force distribution is addressed in this article such that a corresponding mathematical model was established and a method utilizing hybrid genetic algorithm for distributing the forces was proposed.To optimize the performance for emergence handeling via force distribution,based on the introduction of public information sharing principle with a particle swarm optimization（PSO） algorithm,the optimization strategy was implemented with checking parameters like the progressive increase of crossover and mutation probablity tangents as well as the worst compatible randomly mutating inviduals.The experimental result shows that this method compared with single genetic algorithm has some improvement and thus can provide the commander with scientific and efficient strategic support.
出处
《电脑开发与应用》
2011年第8期4-7,10,共5页
Computer Development & Applications
关键词
遗传算法
分配
优化
genetic algorithm
distribution
optimization
