Bi-Population Balancing Multi-Objective Algorithm for Fuzzy Flexible Job Shop With Energy and Transportation-Reference-Cited by-同舟云学术

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Bi-Population Balancing Multi-Objective Algorithm for Fuzzy Flexible Job Shop With Energy and Transportation

Published:2023 Issue: Volume: Page:1-17
ISSN:1545-5955
Container-title:IEEE Transactions on Automation Science and Engineering
language:
Short-container-title:IEEE Trans. Automat. Sci. Eng.

Author:

Li Junqing¹^ORCID,Han Yuyan²^ORCID,Gao Kaizhou³,Xiao Xiumei¹,Duan Peiyong⁴^ORCID

Affiliation:

1. Department of Mathematics, Yunnan Normal University, Kunming, China

2. School of Information Science and Engineering, Shandong Normal University, Jinan, China

3. Macau University of Science and Technology, Macau Institute of Systems Engineering, Macau, Macau

4. School of Mathematics, Yantai University, Yantai, China

Funder

National Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/8856/4358066/10210420.pdf?arnumber=10210420

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1. A Pareto-optimality based black widow spider algorithm for energy efficient flexible job shop scheduling problem considering new job insertion;Applied Soft Computing;2024-10

2. Two-level balancing multi-objective algorithm for trapezoidal type-2 fuzzy flexible job shop problems;Information Sciences;2024-09

3. The dual-resource-constrained re-entrant flexible flow shop a constraint programming approach and a hybrid genetic algorithm;International Journal of Production Research;2024-08-27

4. An enhanced teaching–learning-based optimization for the flexible job shop scheduling problem considering worker behaviours;Soft Computing;2024-07-11

5. A Self-Learning Discrete Artificial Bee Colony Algorithm for Energy-Efficient Distributed Heterogeneous L-R Fuzzy Welding Shop Scheduling Problem;IEEE Transactions on Fuzzy Systems;2024-06

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