Many-objective flexible job-shop scheduling based on a loose non-dominated sorting genetic algorithm-Reference-Cited by-同舟云学术

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Many-objective flexible job-shop scheduling based on a loose non-dominated sorting genetic algorithm

Published:2024-06-07 Issue: Volume: Page:1-22
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Liu Zhenyu¹^ORCID,Liu Hao¹,Liu Hui¹^ORCID,Tan Jianrong¹^ORCID

Affiliation:

1. State Key Laboratory of Computer-Aided Design and Computer Graphics, Zhejiang University, Hangzhou, People’s Republic of China

Funder

National Natural Science Foundation of China

Key Research and Development Program of Zhejiang Province

High-Level Talent Special Support Plan of Zhejiang Province

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/0305215X.2024.2354889

Reference25 articles.

1. An improved non-dominated sorting biogeography-based optimization algorithm for the (hybrid) multi-objective flexible job-shop scheduling problem

2. Routing and scheduling in a flexible job shop by tabu search

3. Job-shop scheduling with multi-purpose machines

4. A memetic NSGA-II for the multi-objective flexible job shop scheduling problem with real-time energy tariffs

5. An approximate nondominated sorting genetic algorithm to integrate optimization of production scheduling and accurate maintenance based on reliability intervals

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