A hybrid learning-based meta-heuristic algorithm for scheduling of an additive manufacturing system consisting of parallel SLM machines-Reference-Cited by-同舟云学术

A hybrid learning-based meta-heuristic algorithm for scheduling of an additive manufacturing system consisting of parallel SLM machines

Published:2021-10-19 Issue: Volume: Page:1-21
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Rohaninejad Mohammad¹²^ORCID,Tavakkoli-Moghaddam Reza¹^ORCID,Vahedi-Nouri Behdin¹^ORCID,Hanzálek Zdeněk²^ORCID,Shirazian Shadi¹^ORCID

Affiliation:

1. School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran

2. Industrial Informatics Department, Czech Institute of Informatics Robotics and Cybernetics, Czech Technical University in Prague, Prague, Czech Republic

Funder

Ministry of Education, Youth and Sports within the dedicated programme ERC CZ

Publisher

Informa UK Limited

Subject

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

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2021.1987550

Reference43 articles.

1. A reinforcement learning iterated local search for makespan minimization in additive manufacturing machine scheduling problems

2. Arthur, David, and Sergei Vassilvitskii. 2006. “k-means++: The Advantages of Careful Seeding.” In: Stanford.

3. Additive manufacturing technology: the status, applications, and prospects

4. Genetic algorithm based scheduling of parallel batch machines with incompatible job families to minimize total weighted tardiness

5. Sensitivity Analysis

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