Flexible job shop scheduling based on improved hybrid immune algorithm-Reference-Cited by-同舟云学术

Flexible job shop scheduling based on improved hybrid immune algorithm

Published:2016-10-21 Issue:1 Volume:9 Page:165-171
ISSN:1868-5137
Container-title:Journal of Ambient Intelligence and Humanized Computing
language:en
Short-container-title:J Ambient Intell Human Comput

Author:

Liang Xu,Huang Ming,Ning Tao

Funder

Talented Young Scholars Growth Plan of Liaoning Province Education Department, China

the Scientific Project of Liaoning Province Education Department, China

the Project of Liaoning BaiQianWan Talents Program, China

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

http://link.springer.com/article/10.1007/s12652-016-0425-9/fulltext.html

Reference19 articles.

1. Bai DY, Zhang ZH, Zhang Q (2016) Flexible open shop scheduling problem to minimize makespan. Comput Oper Res 67:207–215

2. Brandimarte P (1993) Routing and scheduling in a flexible job shop by tabu search. Ann Oper Res 41:157–183

3. Gao KZ, Suganthan PN, Pan QK et al (2014) Pareto-based grouping discrete harmony search algorithm for multi-objective flexible job shop scheduling. Inf Sci 289(24):76–90

4. Geyik F, Dosdogru AT (2013) Process plan and part routing optimization in a dynamic flexible job shop scheduling environment an optimization via simulation approach. Neural Comput Appl 23(6):1631–1641

5. Gutierrez C, Garcia-Magario I (2011) Modular design of a hybrid genetic algorithm for a flexible job-shop scheduling problem. Knowl Based Syst 24:102–112

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