RETRACTED: Solving multi-objective green flexible job shop scheduling problem by an improved chimp optimization algorithm-Reference-Cited by-同舟云学术

RETRACTED: Solving multi-objective green flexible job shop scheduling problem by an improved chimp optimization algorithm

Published:2024-04-18 Issue:4 Volume:46 Page:7697-7710
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Luan Fei¹²^ORCID,Tang Biao¹,Li Ye³,Liu Shi Qiang⁴,Yang Xueqin¹,Masoud Mahmoud⁵⁶,Feng Baoyu⁷

Affiliation:

1. College of Mechanical and Electrical Engineering, Shaanxi University of Science & Technology, Xi’an, Shaanxi, China

2. Shaanxi Research Institute of Agricultural Products Processing Technology, Xi’an, Shaanxi, China

3. Ulster College, Shaanxi University of Science & Technology, Xi’an, Shaanxi, China

4. School of Economics and Management, Fuzhou University, Fuzhou, Fujian, China

5. Department of Information Systems and Operations Management, King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia

6. Center for Smart Mobility and Logistics, King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia

7. Xi’an Natural Gas Engineering Co., Ltd, Xi’an, Shaanxi, China

Abstract

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.

Publisher

IOS Press

Reference44 articles.

1. Multiobjective flexible job shop scheduling using memetic algorithms[J];Yuan;IEEE Transactions on Automation Science and Engineering,2013

2. Optimising the job-shop scheduling problem using a multi-objective Jaya algorithm[J];He;Applied Soft Computing,2021

3. Can low-carbon technological innovation truly improve enterprise performance? The case of Chinese manufacturing companies[J];Li;Journal of Cleaner Production,2021

4. Energy-saving production scheduling in a single-machine manufacturing system by improved particle swarm optimization[J];Jiang;Mathematical Problems in Engineering,2020

5. An efficient greedy insertion heuristic for energy-conscious single machine scheduling problem under time-of-use electricity tariffs[J];Che;Journal of Cleaner Production,2016