Applying hybrid genetic algorithm to multi-mode resource constrained multi-project scheduling problems-Reference-Cited by-同舟云学术

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Applying hybrid genetic algorithm to multi-mode resource constrained multi-project scheduling problems

Published:2021-10-20 Issue:1 Volume:45 Page:42-53
ISSN:0253-3839
Container-title:Journal of the Chinese Institute of Engineers
language:en
Short-container-title:Journal of the Chinese Institute of Engineers

Author:

Chen James C.¹,Lee Hung-Yu²,Hsieh Wen-Haiung²,Chen Tzu-Li³

Affiliation:

1. Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsinchu, Taiwan, R.O.C

2. Department of Industrial and System Engineering, Chung-Yuan Christian University, Taoyuan City, Taiwan, R.O.C

3. Department of Industrial Engineering and Management, National Taipei University of Technology, Taipei, Taiwan, R.O.C

Publisher

Informa UK Limited

Subject

General Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/02533839.2021.1983461

Reference46 articles.

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

2. A process framework for theoretically grounded prescriptive research in the project management field

3. Solving the Multi-Mode Resource-Constrained Project Scheduling Problem with genetic algorithms

4. Combining Monte-Carlo and hyper-heuristic methods for the multi-mode resource-constrained multi-project scheduling problem

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1. Solving a real-life multi-skill resource-constrained multi-project scheduling problem;Annals of Operations Research;2024-01-30

2. Combining EDA and Simulated Annealing Strategies in Project Scheduling Construction;Studies in Computational Intelligence;2024

3. Project Scheduling a Critical Review of Both Traditional and Metaheuristic Techniques;Studies in Computational Intelligence;2024

4. Multi-skill resource-constrained multi-modal project scheduling problem based on hybrid quantum algorithm;Scientific Reports;2023-10-28

5. Research and implementation of order-oriented textile production scheduling system;Journal of the Chinese Institute of Engineers;2023-04-03

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