Improved evolutionary algorithm for parallel batch processing machine scheduling in additive manufacturing-Reference-Cited by-同舟云学术

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Improved evolutionary algorithm for parallel batch processing machine scheduling in additive manufacturing

Published:2019-05-16 Issue:8 Volume:58 Page:2263-2282
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Zhang Jianming¹,Yao Xifan¹,Li Yun²³

Affiliation:

1. School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, People's Republic of China

2. School of Computer Science and Network Security, Dongguan University of Technology, Dongguan, People's Republic of China

3. Department of Design, Manufacture and Engineering Management, Faculty of Engineering, University of Strathclyde, Glasgow, UK

Funder

National Natural Science Foundation of China

Science & Technology Foundation of Guangdong Province

Fundamental Research Funds for the Central Universities

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2019.1617447

Reference49 articles.

1. Constrained binary artificial bee colony to minimize the makespan for single machine batch processing with non-identical job sizes

2. Analysis of irregular three-dimensional packing problems in additive manufacturing: a new taxonomy and dataset

3. Scheduling unrelated parallel batch processing machines with non-identical job sizes and unequal ready times

4. Informing additive manufacturing technology adoption: total cost and the impact of capacity utilisation

5. The geometry of nesting problems: A tutorial

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1. Out-of-order execution enabled deep reinforcement learning for dynamic additive manufacturing scheduling;Robotics and Computer-Integrated Manufacturing;2025-02

2. A multi-objective dynamical artificial bee colony for energy-efficient fuzzy hybrid flow shop scheduling with batch processing machines;Expert Systems with Applications;2025-01

3. Scheduling for additive manufacturing with two-dimensional packing and incompatible items;Omega;2024-12

4. A bibliometric review on application of machine learning in additive manufacturing and practical justification;Applied Materials Today;2024-10

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