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A novel method to solve supplier selection problem: Hybrid algorithm of genetic algorithm and ant colony optimization

Crossref DOI link: https://doi.org/10.1016/j.matcom.2018.08.011

Published Print: 2019-02

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Authors

Luan, Jing https://orcid.org/0000-0003-2234-2426
Yao, Zhong https://orcid.org/0000-0001-7021-4213
Zhao, Futao

Song, Xin
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (71532002)

National Natural Science Foundation of China (71671011)

Fundamental funds for Humanities and Social Sciences of Beijing Jiaotong University, China (2018RCW004)
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This article is maintained by: Elsevier

Article Title: A novel method to solve supplier selection problem: Hybrid algorithm of genetic algorithm and ant colony optimization

Journal Title: Mathematics and Computers in Simulation

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.matcom.2018.08.011

Content Type: article

Copyright: © 2018 International Association for Mathematics and Computers in Simulation (IMACS). Published by Elsevier B.V. All rights reserved.