Energy-efficient distributed permutation flow shop scheduling problem using a multi-objective whale swarm algorithm-Reference-Cited by-同舟云学术

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Energy-efficient distributed permutation flow shop scheduling problem using a multi-objective whale swarm algorithm

Published:2020-09 Issue: Volume:57 Page:100716
ISSN:2210-6502
Container-title:Swarm and Evolutionary Computation
language:en
Short-container-title:Swarm and Evolutionary Computation

Author:

Wang Guangchen,Gao Liang,Li Xinyu,Li Peigen,Tasgetiren M. Fatih

Funder

National Natural Science Foundation for Distinguished Young Scholars of China

National Natural Science Foundation of China

Natural Science Foundation of Hubei Province

HUST

Publisher

Elsevier BV

Subject

General Mathematics,General Computer Science

Reference54 articles.

1. Energy efficient production planning and scheduling problem with processing technology selection;Liang;Comput. Ind. Eng.,2019

2. Scheduling for sustainable manufacturing: a review;Akbar;J. Clean. Prod.,2018

3. Worldwide Trends in Energy Use and Efficiency: Key Insights from IEA Indicator Analysis,2008

4. Optimizing the low-carbon flexible job shop scheduling problem considering energy consumption;Jiang;IEEE Access,2018

5. Green job shop scheduling problem with discrete whale optimization algorithm;Jiang;IEEE Access,2019

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