Efficient multi-objective algorithm for the lot-streaming hybrid flowshop with variable sub-lots-Reference-Cited by-同舟云学术

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Efficient multi-objective algorithm for the lot-streaming hybrid flowshop with variable sub-lots

Published:2020-02 Issue: Volume:52 Page:100600
ISSN:2210-6502
Container-title:Swarm and Evolutionary Computation
language:en
Short-container-title:Swarm and Evolutionary Computation

Author:

Li Jun-qing,Tao Xin-rui,Jia Bao-xian,Han Yu-yan,Liu Chuang,Duan Peng,Zheng Zhi-xin,Sang Hong-yan

Funder

National Science Foundation of China

Shandong Province Higher Educational Science and Technology Program

Open Project of Henan Key Laboratory of Intelligent Manufacturing of Mechanical Equipment, Zhengzhou University of Light Industry

Shandong Province Natural Science Foundation

Publisher

Elsevier BV

Subject

General Mathematics,General Computer Science

Reference61 articles.

1. The hybrid flow shop scheduling problem;Ruiz;Eur. J. Oper. Res.,2010

2. A collaborative multiobjective fruit fly optimization algorithm for the resource constrained unrelated parallel machine green scheduling problem;Zheng;IEEE Trans. Syst. Man. Cy. A.,2018

3. Hybrid artificial bee colony algorithm for a parallel batching distributed flow shop problem with deteriorating jobs;Li;IEEE Trans. Cybernetics,2019

4. Effective invasive weed optimization algorithms for distributed assembly permutation flowshop problem with total flowtime criterion;Sang;Swarm. Evol. Comput.,2019

5. An improved artificial bee colony algorithm for addressing distributed flow shop with distance coefficient in a prefabricated system;Li;Int. J. Prod. Res.,2019

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