An improved iterated greedy algorithm for the distributed hybrid flowshop scheduling problem-Reference-Cited by-同舟云学术

An improved iterated greedy algorithm for the distributed hybrid flowshop scheduling problem

Published:2023-04-19 Issue: Volume: Page:1-19
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Lu Chao¹,Zheng Jun²,Yin Lvjiang³,Wang Renyi¹

Affiliation:

1. School of Computer Science, China University of Geosciences, Wuhan, People’s Republic of China

2. Engineering Faculty, China University of Geosciences, Wuhan, People’s Republic of China

3. School of Economics and Management, Hubei University of Automotive Technology, Shiyan, People’s Republic of China

Funder

National Science Foundation of China

Publisher

Informa UK Limited

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,Management Science and Operations Research,Control and Optimization,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/0305215X.2023.2198768

Reference39 articles.

1. Heuristics for scheduling in a flow shop with multiple processors

2. An adaptive genetic algorithm with dominated genes for distributed scheduling problems

3. Optimisation of distributed manufacturing flexible job shop scheduling by using hybrid genetic algorithms

4. A competitive memetic algorithm for multi-objective distributed permutation flow shop scheduling problem

5. Greedy Randomized Adaptive Search Procedures

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