Solution of asymmetric discrete competitive facility location problems using ranking of candidate locations-Reference-Cited by-同舟云学术

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Solution of asymmetric discrete competitive facility location problems using ranking of candidate locations

Published:2020-06-29 Issue:23 Volume:24 Page:17705-17713
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Lančinskas Algirdas,Žilinskas Julius,Fernández Pascual,Pelegrín Blas

Funder

Lietuvos Mokslo Taryba

Ministry of Economy and Competitiveness of Spain

Fundación Séneca

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s00500-020-05106-0.pdf

Reference26 articles.

1. Atta S, Sinha Mahapatra PR, Mukhopadhyay A (2019) Multi-objective uncapacitated facility location problem with customers’ preferences: pareto-based and weighted sum GA-based approaches. Soft Comput. https://doi.org/10.1007/s00500-019-03774-1

2. Chan KY, Aydin ME, Fogarty TC (2006) Main effect fine-tuning of the mutation operator and the neighbourhood function for uncapacitated facility location problems. Soft Comput 10(11):1075–1090. https://doi.org/10.1007/s00500-005-0044-4

3. Church R, ReVelle C (1974) The maximal covering location problem. Papers Region Sci Assoc 32(1):101–118

4. Drezner T, Drezner Z (2004) Finding the optimal solution to the Huff based competitive location model. Comput Manag Sci 1(2):193–208

5. Farahani RZ, Rezapour S, Drezner T, Fallah S (2014) Competitive supply chain network design: an overview of classifications, models, solution techniques and applications. Omega 45:92–118

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3. A comparative performance analysis of intelligence-based algorithms for optimizing competitive facility location problems;Machine Learning with Applications;2023-03

4. Branch-and-cut approach based on generalized benders decomposition for facility location with limited choice rule;European Journal of Operational Research;2021-08

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