基于遗传算法的飞行器技术准备流程优化
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Technical Preparation Procedure Optimization of Aircraft Based on Genetic Algorithm
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    摘要:

    为解决飞行器技术准备流程优化在有约束条件下的维数障碍及模式欺骗性问题,提出一种符号数组染色 体编码方式及基于自适应性变异概率和罚函数法的适应性遗传算法。针对某型号飞行器技术准备流程优化问题,以 技术准备各阶段耗时总和最小为目标函数、技术准备总可靠性为约束条件,分别比较静态变异概率和自适应变异概 率的遗传算法进化过程。该算法能有效求解规模较大且具有较强模式欺骗性的有约束流程优化问题,得到最佳技术 准备流程方案。

    Abstract:

    This paper proposes an adaptive genetic algorithm of symbol array chromosome coding method based on adaptive mutation probability and penalty function method, in order to solve the problems of dimension limitation and schema deceptive for the technical preparation procedure optimization of constraint aircraft. For the technical preparation procedure optimization of a certain-type aircraft, it took the total time consumption at different stages of technical preparation as the objective function and the total reliability of technical preparation as constraint conditions. The genetic algorithm evolution process of static variation probability and adaptive variation probability was compared. The algorithm can effectively used for constrain process optimization with large scale calculation and strong deception, and acquire optimal technology preparation process plan. Keywords: genetic algorithms; adaptive probability

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侯 斌.基于遗传算法的飞行器技术准备流程优化[J].,2017,36(09).

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  • 收稿日期:2017-05-17
  • 最后修改日期:2017-06-12
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  • 在线发布日期: 2018-09-27
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