Solving the two-stage hybrid flow shop scheduling problem based on mutant firefly algorithm-Reference-Cited by-同舟云学术

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Solving the two-stage hybrid flow shop scheduling problem based on mutant firefly algorithm

Published:2018-06-13 Issue:3 Volume:10 Page:979-990
ISSN:1868-5137
Container-title:Journal of Ambient Intelligence and Humanized Computing
language:en
Short-container-title:J Ambient Intell Human Comput

Author:

Fan Beibei,Yang Wenwei,Zhang Zaifang

Funder

National Natural Science Foundation of China

Shanghai Key Laboratory of Advanced Manufacturing Environment

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

http://link.springer.com/article/10.1007/s12652-018-0903-3/fulltext.html

Reference40 articles.

1. Allahverdi A, Al-Anzi FS (2008) The two-stage assembly flowshop scheduling problem with bicriteria of makespan and mean completion time. Int J Adv Manuf Tech 37(1–2):166–177

2. Allahverdi A, Aydilek H (2015) The two stage assembly flowshop scheduling problem to minimize total tardiness. J Intell Manuf 26(2):225–237

3. Bożejko W, Pempera J, Smutnicki C (2013) Parallel tabu search algorithm for the hybrid flow shop problem. Comput Ind Eng 65(3):466–474

4. Chou FD (2013) Particle swarm optimization with cocktail decoding method for hybrid flow shop scheduling problems with multiprocessor tasks. Int J Prod Econ 141(1):137–145

5. Chung TP, Liao CJ (2013) An immunoglobulin-based artificial immune system for solving the hybrid flow shop problem. Appl Soft Comput 13(8):3729–3736

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