A biased random-key genetic algorithm for wireless backhaul network design

[Display omitted] •We propose a novel network design problem for wireless backhaul networks.•Its objective function is computed using the value of the maximum flow and network costs.•We propose a BRKGA and a mixed integer linear programming model (MIP) to solve it.•We assess the great performance of...

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Bibliographic Details

Published in:	Applied soft computing Vol. 33; pp. 150 - 169
Main Authors:	Andrade, Carlos E., Resende, Mauricio G.C., Zhang, Weiyi, Sinha, Rakesh K., Reichmann, Kenneth C., Doverspike, Robert D., Miyazawa, Flávio K.
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.08.2015
Subjects:	Genetic algorithm Mixed integer programming model Small cells Wireless backhaul network design Genetic algorithm Wireless backhaul network design Small cells Mixed integer programming model
ISSN:	1568-4946, 1872-9681
Online Access:	Get full text
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