Improvement of Ant Colony Algorithm Performance for the Job-Shop Scheduling Problem Using Evolutionary Adaptation and Software Realization Heuristics

Planning tasks are important in construction, manufacturing, logistics, and education. At the same time, scheduling problems belong to the class of NP-hard optimization problems. Ant colony algorithm optimization is one of the most common swarm intelligence algorithms and is a leader in solving comp...

詳細記述

書誌詳細
出版年:Algorithms
第一著者: Pavel V. Matrenin
フォーマット: 論文
言語:英語
出版事項: MDPI AG 2022-12-01
主題:
オンライン・アクセス:https://www.mdpi.com/1999-4893/16/1/15