Design of in-building wireless networks deployments using evolutionary algorithms

被引：20

作者：

Molina-Garcia, Mariano ^{[1
]}

Calle-Sanchez, Jaime ^{[1
]}

Gonzalez-Merino, Carlos ^{[1
]}

Fernandez-Duran, Alfonso ^{[2
]}

Alonso, Jose I. ^{[1
]}

机构：

[1] Tech Univ Madrid, Dept Signal Syst & Radiocommun, ETSI Telecomunicac, Madrid 28040, Spain

[2] Alcatel Lucent Spain, Madrid, Spain

来源：

INTEGRATED COMPUTER-AIDED ENGINEERING | 2014年 / 21卷 / 04期

关键词：

Evolutionary algorithms; metaheuristics; optimization; wireless networks; GENETIC ALGORITHMS; MULTIOBJECTIVE OPTIMIZATION; TRANSMITTER PLACEMENT; SYSTEM; MODEL;

D O I：

10.3233/ICA-140474

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this article, a novel approach to deal with the design of in-building wireless networks deployments is proposed. This approach known as MOQZEA (Multiobjective Quality Zone Based Evolutionary Algorithm) is a hybrid evolutionary algorithm adapted to use a novel fitness function, based on the definition of quality zones for the different objective functions considered. This approach is conceived to solve wireless network design problems without previous information of the required number of transmitters, considering simultaneously a high number of objective functions and optimizing multiple configuration parameters of the transmitters.

引用

页码：367 / 385

页数：19

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