COOPERATIVE CO-EVOLUTION OF SELF-CONFIGURING BIO-INSPIRED ALGORITHMS FOR THE SCHEDULING PROBLEM

Ольга Е. Семенкина
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引用次数: 0

Abstract

Предложен кооперативный коэволюционный метод на основе самоконфигурируемых бионических алгоритмов комбинаторной и/или вещественной оптимизации. Показана эффективность применения данного подхода на задачах составления расписания производственного типа. Three universal scheduling problem statements for operational production planning are considered - permutation of the lots processing order, permutation of operation priorities and real operation priorities. A cooperative co-evolutionary method based on self-configuring bio-inspired algorithms for combinatorial and/or real optimization is proposed. The effectiveness of the application of this approach to the scheduling problem is shown.
调度问题自配置仿生算法的协同进化
本文提出了一种基于可自我配置的组合和/或实值优化仿生算法的合作共同进化方法。该方法在生产类型调度问题上的应用效果得到了证明。研究考虑了三种用于生产运营规划的通用调度问题陈述--批次处理顺序的排列、操作优先级的排列和实际操作优先级。提出了一种基于自配置生物启发算法的合作共同进化方法,用于组合和/或实际优化。结果表明,将这种方法应用于排产问题非常有效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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