A hybrid neural network approach to minimize total completion time on a single batch processing machine-Reference-Cited by-同舟云学术

A hybrid neural network approach to minimize total completion time on a single batch processing machine

Published:2019-04-15 Issue:5 Volume:28 Page:2867-2899
ISSN:0969-6016
Container-title:International Transactions in Operational Research
language:en
Short-container-title:Intl. Trans. in Op. Res.

Author:

Rafiee Parsa N.¹,Keshavarz T.²,Karimi B.³,Moattar Husseini S. M.³

Affiliation:

1. Department of Industrial Engineering Central Tehran Branch Islamic Azad University P.O. Box 1469669191 Tehran Iran

2. Department of Industrial Engineering Semnan University P.O. Box 35131‐19111 Semnan Iran

3. Department of Industrial Engineering and Management Systems Amirkabir University of Technology P.O. 15875‐4413 Tehran Iran

Funder

Iran National Science Foundation

Publisher

Wiley

Subject

Management of Technology and Innovation,Management Science and Operations Research,Strategy and Management,Computer Science Applications,Business and International Management

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/itor.12665

Reference43 articles.

1. Theoretical insights into the augmented-neural-network approach for combinatorial optimization

2. A Neurogenetic approach for the resource-constrained project scheduling problem

3. Heuristics and augmented neural networks for task scheduling with non-identical machines

4. Augmented neural networks for task scheduling

5. Scheduling a batch processing machine with non-identical job sizes

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