Research on production line optimization based on NSGA-II algorithm

Jingsong Duan; Guohua Cao; Guoqing Ma; Zheng Li

doi:10.1117/12.3050471

27 September 2024 Research on production line optimization based on NSGA-II algorithm

Jingsong Duan, Guohua Cao, Guoqing Ma, Zheng Li

Proceedings Volume 13284, Third International Conference on Intelligent Mechanical and Human-Computer Interaction Technology (IHCIT 2024); 132841Q (2024) https://doi.org/10.1117/12.3050471
Event: Third International Conference on Intelligent Mechanical and Human-Computer Interaction Technology (IHCIT 2024), 2024, Hangzhou, China

Abstract

The scheduling problem of workshop production process is an important research object of intelligent manufacturing. In this paper, the idea of introducing reverse learning is integrated into NSGA-II algorithm, and an improved NSGA-Ⅱ algorithm based on reverse learning is proposed to solve the P-FJSP problem, which is easy to prematurely converge to the local optimal solution. It is especially suitable for the production scheduling problem of large quantities and batches, and it is also proved that the algorithm can be well applied to the production line scheduling system.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jingsong Duan, Guohua Cao, Guoqing Ma, and Zheng Li "Research on production line optimization based on NSGA-II algorithm", Proc. SPIE 13284, Third International Conference on Intelligent Mechanical and Human-Computer Interaction Technology (IHCIT 2024), 132841Q (27 September 2024); https://doi.org/10.1117/12.3050471

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available