Parametric analysis for genetic algorithms handling parameters

Parametric analysis for genetic algorithms handling parameters

In the present paper, Evolutionary Algorithms (EAs) computing techniques have been used for economical studies that concern water distribution networks, such as, economical design of pipe network, parallel expansion, and pipe rehabilitation and maintenance. EAs are used because of capability of sear...

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Main Authors: A.R. Ayad, H.A. Awad, A.A. Yassin
Format: Article
Language:English
Published: Elsevier 2013-03-01
Series:Alexandria Engineering Journal
Subjects:
Evolutionary algorithms
Optimization
Water distribution networks
Online Access:http://www.sciencedirect.com/science/article/pii/S111001681200097X
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spelling doaj-4cea82ad675c4bdabbd7af2a6cec96222021-06-02T01:59:06ZengElsevierAlexandria Engineering Journal1110-01682013-03-015219911110.1016/j.aej.2012.10.007Parametric analysis for genetic algorithms handling parametersA.R. AyadH.A. AwadA.A. YassinIn the present paper, Evolutionary Algorithms (EAs) computing techniques have been used for economical studies that concern water distribution networks, such as, economical design of pipe network, parallel expansion, and pipe rehabilitation and maintenance. EAs are used because of capability of searching vast and complex search space and locating near global optimal solutions rapidly. A model created under the name “EAnet” combines GA models with ELGTnet as hydraulic analysis models to obtain optimal design of water pipe networks. Finally, summary of key findings and recommended parameters to be used is presented.http://www.sciencedirect.com/science/article/pii/S111001681200097XEvolutionary algorithmsOptimizationWater distribution networks
collection DOAJ
language English
format Article
sources DOAJ
author A.R. Ayad
H.A. Awad
A.A. Yassin
spellingShingle A.R. Ayad
H.A. Awad
A.A. Yassin
Parametric analysis for genetic algorithms handling parameters
Alexandria Engineering Journal
Evolutionary algorithms
Optimization
Water distribution networks
author_facet A.R. Ayad
H.A. Awad
A.A. Yassin
author_sort A.R. Ayad
title Parametric analysis for genetic algorithms handling parameters
title_short Parametric analysis for genetic algorithms handling parameters
title_full Parametric analysis for genetic algorithms handling parameters
title_fullStr Parametric analysis for genetic algorithms handling parameters
title_full_unstemmed Parametric analysis for genetic algorithms handling parameters
title_sort parametric analysis for genetic algorithms handling parameters
publisher Elsevier
series Alexandria Engineering Journal
issn 1110-0168
publishDate 2013-03-01
description In the present paper, Evolutionary Algorithms (EAs) computing techniques have been used for economical studies that concern water distribution networks, such as, economical design of pipe network, parallel expansion, and pipe rehabilitation and maintenance. EAs are used because of capability of searching vast and complex search space and locating near global optimal solutions rapidly. A model created under the name “EAnet” combines GA models with ELGTnet as hydraulic analysis models to obtain optimal design of water pipe networks. Finally, summary of key findings and recommended parameters to be used is presented.
topic Evolutionary algorithms
Optimization
Water distribution networks
url http://www.sciencedirect.com/science/article/pii/S111001681200097X
work_keys_str_mv AT arayad parametricanalysisforgeneticalgorithmshandlingparameters
AT haawad parametricanalysisforgeneticalgorithmshandlingparameters
AT aayassin parametricanalysisforgeneticalgorithmshandlingparameters
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