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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Vydané v:	Applied soft computing Ročník 33; s. 150 - 169
Hlavní autori:	Andrade, Carlos E., Resende, Mauricio G.C., Zhang, Weiyi, Sinha, Rakesh K., Reichmann, Kenneth C., Doverspike, Robert D., Miyazawa, Flávio K.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.08.2015
Predmet:	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
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