Research on Hybrid Flow-shop Scheduling Based on INSGA-II Algorithm-Reference-Cited by-同舟云学术

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Research on Hybrid Flow-shop Scheduling Based on INSGA-II Algorithm

Published:2022-12-16 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2022 4th International Conference on Robotics, Intelligent Control and Artificial Intelligence
language:
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Author:

Chen Haopeng¹^ORCID,Fang Zaojun²^ORCID,Zhong Caiming³^ORCID

Affiliation:

1. College of Science and Education Integration, Ningbo University, China and Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, China

2. Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, China

3. College of Science & Technology Ningbo University, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3584376.3584573

Reference15 articles.

1. A Novel Multi-Population Artificial Bee Colony Algorithm for Energy-Efficient Hybrid Flow Shop Scheduling Problem

2. Flexible job shop scheduling using hybrid differential evolution algorithms

3. Pratiwi Y E Kusbudiono K Riski A Hadi A F. 2020. Hybrid flow-shop scheduling (HFS) problem solving with migrating birds optimization (MBO) algorithm. Mathematics and Statistics 8(2A): 58-62. Pratiwi Y E Kusbudiono K Riski A Hadi A F. 2020. Hybrid flow-shop scheduling (HFS) problem solving with migrating birds optimization (MBO) algorithm. Mathematics and Statistics 8(2A): 58-62.

4. A multi-level optimization approach for energy-efficient flexible flow shop scheduling

5. Discrete imperialist competitive algorithm for the resource-constrained hybrid flowshop problem with energy consumption;Tao X R;Complex & Intelligent Systems,2020

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