A Knowledge-Based Estimation of Distribution Algorithm for Product Assembly Line Balancing

Ruochen Zhang, Chu Ge Wu*, Yuanqing Xia

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Assembling is a critical process within the manufacturing industries, where the efficiency of assembly lines directly affects the manufacturing productivity. To improve the overall efficiency, this paper proposes a knowledge-based Estimation of Distribution Algorithm (kEDA) specifically designed for the Robotic Assembly Line Balancing Problem. The algorithm utilizes a sampling technique based on a tailored probability model within kEDA to determine the task-workstation assignment. Additionally, it incorporates knowledge-based solution repair and optimization operators to minimize cycle time. The simulation results of various problem scales demonstrate that our algorithm outperforms classic algorithms in terms of the cycle time.

源语言英语
主期刊名Proceedings - 2023 China Automation Congress, CAC 2023
出版商Institute of Electrical and Electronics Engineers Inc.
8534-8540
页数7
ISBN(电子版)9798350303759
DOI
出版状态已出版 - 2023
活动2023 China Automation Congress, CAC 2023 - Chongqing, 中国
期限: 17 11月 202319 11月 2023

出版系列

姓名Proceedings - 2023 China Automation Congress, CAC 2023

会议

会议2023 China Automation Congress, CAC 2023
国家/地区中国
Chongqing
时期17/11/2319/11/23

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