Metaheuristics for solving the biobjective single-path multicommodity communication flow problem-Reference-Cited by-同舟云学术

Metaheuristics for solving the biobjective single-path multicommodity communication flow problem

Published:2017-02-07 Issue:2 Volume:26 Page:589-614
ISSN:0969-6016
Container-title:International Transactions in Operational Research
language:en
Short-container-title:Intl. Trans. in Op. Res.

Author:

Masri Hela¹,Krichen Saoussen²,Guitouni Adel³

Affiliation:

1. Tunis Business School; University of Tunis; Tunis Tunisia

2. Institut Superieur de Gestion de Tunis; University of Tunis; Tunis Tunisia

3. Peter B. Gustavson School of Business; University of Victoria; Victoria BC Canada

Publisher

Wiley

Subject

Management of Technology and Innovation,Management Science and Operations Research,Strategy and Management,Computer Science Applications,Business and International Management

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/itor.12378/fullpdf

Reference41 articles.

1. Multi-objective genetic local search algorithm using Kohonen's neural map;Asiabar;Computers and Industrial Engineering,2009

2. Multicommodity network flows-a survey;Assad;Networks,1978

3. On the k-splittable flow problem;Baier,2002

4. Integer multicommodity flow problems;Barnhart,1996

5. Using branch-and-price-and-cut to solve origin-destination integer multicommodity flow problems;Barnhart;Operations Research,2000

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