首页> 外国专利> SCHEDULING METHOD AND SYSTEM BASED ON IMPROVED VARIABLE NEIGHBORHOOD SEARCH AND DIFFERENTIAL EVOLUTION ALGORITHM

SCHEDULING METHOD AND SYSTEM BASED ON IMPROVED VARIABLE NEIGHBORHOOD SEARCH AND DIFFERENTIAL EVOLUTION ALGORITHM

机译:基于改进的可变邻域搜索和微分进化算法的调度方法和系统

摘要

The present invention relates to a production batch scheduling method and system based on improved variable neighborhood search and differential evolution algorithms as well as a storage medium. The method is executed by a computer, and includes: setting algorithm parameters; building a neighborhood structure; initializing a population; determining an initial solution; calculating a fitness value; locally searching; selecting a male parent; performing individual recessive variation; regenerating the population; updating the initial solution; updating a neighborhood structure of algorithmic search; and judging whether a terminal condition of algorithm execution is met, outputting a global optimal solution of the algorithmic search if so, otherwise, returning to Step 6. The present invention can obtain an approximate optimal solution in regard to a coordinated batch scheduling problem of production and transportation in the case of a manufacturer single machine based on a differential workpiece.
机译:本发明涉及一种基于改进的可变邻域搜索和差分进化算法以及存储介质的生产批次调度方法和系统。该方法由计算机执行,并且包括:设置算法参数;以及建立邻里结构;初始化人口;确定初步解决方案;计算适合度值;本地搜索;选择一个男性父母;进行个体隐性变异;更新人口;更新初始解决方案;更新算法搜索的邻域结构;判断是否满足算法执行的最终条件,如果是,则输出算法搜索的全局最优解,否则,返回步骤 6。本发明可以获得关于算法搜索的近似最优解。在制造商基于差异工件的单机情况下,生产和运输的协调批量计划问题。

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