{"title":"COOPERATIVE CO-EVOLUTION OF SELF-CONFIGURING BIO-INSPIRED ALGORITHMS FOR THE SCHEDULING PROBLEM","authors":"Ольга Е. Семенкина","doi":"10.36622/vstu.2022.87.1.013","DOIUrl":null,"url":null,"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.\n 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.","PeriodicalId":331043,"journal":{"name":"СИСТЕМЫ УПРАВЛЕНИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ","volume":"24 8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"СИСТЕМЫ УПРАВЛЕНИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.36622/vstu.2022.87.1.013","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.