A hybrid approach combining modified artificial bee colony and cuckoo search algorithms for multi-objective cloud manufacturing service composition

Zhou, Jiajun; Yao, Xifan

doi:10.1080/00207543.2017.1292064

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A hybrid approach combining modified artificial bee colony and cuckoo search algorithms for multi-objective cloud manufacturing service composition

Author(s): Jiajun Zhou ¹ , Xifan Yao ¹

Publication date Created: October 17 2016

Publication date (Electronic): February 15 2017

Journal: International Journal of Production Research

Publisher: Informa UK Limited

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Most cited references 52

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A fast and elitist multiobjective genetic algorithm: NSGA-II

Tamal Deb, A. Pratap, S. Agarwal … (2002)

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A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms

Joaquín Derrac, Salvador García-García, Daniel Molina … (2011)

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A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm

Dervis Karaboga, Bahriye Basturk (2007)

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Author and article information

Journal

Title: International Journal of Production Research

Abbreviated Title: International Journal of Production Research

Publisher: Informa UK Limited

ISSN (Print): 0020-7543

ISSN (Electronic): 1366-588X

Publication date Created: October 17 2016

Publication date Created: August 18 2017

Publication date (Electronic): February 15 2017

Publication date (Print): August 18 2017

Volume: 55

Issue: 16

Pages: 4765-4784

Affiliations

[1 ] School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, China

Article

DOI: 10.1080/00207543.2017.1292064

SO-VID: 1e3d6c2e-e0f4-4406-8002-f4c1ed33e78b

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