A multiobjective memetic algorithm for integrated process planning and scheduling problem in distributed heterogeneous manufacturing systems-Reference-Cited by-同舟云学术

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A multiobjective memetic algorithm for integrated process planning and scheduling problem in distributed heterogeneous manufacturing systems

Published:2022-05-09 Issue:2 Volume:14 Page:193-209
ISSN:1865-9284
Container-title:Memetic Computing
language:en
Short-container-title:Memetic Comp.

Author:

Liu Qihao,Li Xinyu,Gao Liang,Wang Guangchen

Funder

the national key r&d program of china

the national natural science foundation of china

the program for hust academic frontier youth team

Publisher

Springer Science and Business Media LLC

Subject

Control and Optimization,General Computer Science

Link

https://link.springer.com/content/pdf/10.1007/s12293-022-00364-x.pdf

Reference41 articles.

1. Barzanji R, Naderi B, Begen MA (2019) Decomposition algorithms for the integrated process planning and scheduling problem. Omega 93:102025

2. Czyzżak P, Jaszkiewicz A (1998) Pareto simulated annealing—a metaheuristic technique for multiple-objective combinatorial optimization. J Multi-Criteria Decis Anal 7(1):34–47

3. De Giovanni L, Pezzella F (2010) An improved genetic algorithm for the distributed and flexible job-shop scheduling problem. Eur J Oper Res 200(2):395–408

4. Franca PM, Mendes A, Moscato P (2001) A memetic algorithm for the total tardiness single machine scheduling problem. Eur J Oper Res 132(1):224–242

5. Jia HZ, Fuh JYH, Nee AYC, Zhang YF (2002) Web-based multi-functional scheduling system for a distributed manufacturing environment. Concurr Eng Res Appl 10(1):27–39

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