Brainstorm Optimization Algorithm with K-means Clustering for Disassembly Line Balancing Problems-Reference-Cited by-同舟云学术

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Brainstorm Optimization Algorithm with K-means Clustering for Disassembly Line Balancing Problems

Published:2022-10-09 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
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Author:

Xiao PengKai¹,Guo XiWang¹,Wang Jiacun²,Qin ShuJin³,Qi Liang⁴,Tan Yuanyuan⁵

Affiliation:

1. Liaoning Petrochemical University,Fushun,China

2. Monmouth University,West Long Branch,USA

3. Shangqiu Normal University,Shangqiu,China

4. Shandong University of Science and Technology,Qingdao,China

5. Shenyang University of Technology,Shenyang,China

Funder

Natural Science Foundation of Shandong Province

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9945068/9945069/09945258.pdf?arnumber=9945258

Reference32 articles.

1. Iterated Greedy Algorithms for Flowshop Scheduling Problems: A Tutorial;zhao;IEEE Transactions on Automation Science and Engineering,2021

2. Decomposition Method for New Single-Machine Scheduling Problems From Steel Production Systems

3. Dual-Objective Mixed Integer Linear Program and Memetic Algorithm for an Industrial Group Scheduling Problem

4. Stochastic Hybrid Discrete Grey Wolf Optimizer for Multi-Objective Disassembly Sequencing and Line Balancing Planning in Disassembling Multiple Products

5. Partial disassembly line balancing under uncertainty: robust optimisation models and an improved migrating birds optimisation algorithm

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