Solving the Capacitated Dispersion Problem with variable neighborhood search approaches: From basic to skewed VNS-Reference-Cited by-同舟云学术

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Solving the Capacitated Dispersion Problem with variable neighborhood search approaches: From basic to skewed VNS

Published:2022-03 Issue: Volume:139 Page:105622
ISSN:0305-0548
Container-title:Computers & Operations Research
language:en
Short-container-title:Computers & Operations Research

Author:

Mladenović Nenad,Todosijević Raca^ORCID,Urošević Dragan,Ratli Mustapha

Funder

Ministry of Education and Science of the Republic of Kazakhstan

Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja

Science Fund of the Republic of Serbia

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Modeling and Simulation,General Computer Science

Reference29 articles.

1. Maximum diversity/similarity models with extension to part grouping;Adil;Int. Trans. Oper. Res.,2005

2. Solving the maximum min-sum dispersion by alternating formulations of two different problems;Amirgaliyeva;European J. Oper. Res.,2017

3. Less is more: solving the max-mean diversity problem with variable neighborhood search;Brimberg;Inform. Sci.,2017

4. The knapsack sharing problem;Brown;Oper. Res.,1979

5. Variable neighborhood descent;Duarte,2018

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3. A Forward–Backward Simheuristic for the Stochastic Capacitated Dispersion Problem;Mathematics;2024-03-20

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