GAnet: genetic algorithm platform for pipe network optimisation

The marriage of object-oriented programming techniques and genetic algorithms (GAs) provides a uniquely flexible environment for the development of evolution programs with technical applications. Computerised representations of hydraulic network models are used in various guises throughout the water...

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Bibliographic Details
Published in:	Advances in engineering software (1992) Vol. 32; no. 6; pp. 467 - 475
Main Authors:	Morley, M.S, Atkinson, R.M, Savić, D.A, Walters, G.A
Format:	Journal Article
Language:	English
Published:	01.06.2001
ISSN:	0965-9978
Online Access:	Get full text
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Summary:	The marriage of object-oriented programming techniques and genetic algorithms (GAs) provides a uniquely flexible environment for the development of evolution programs with technical applications. Computerised representations of hydraulic network models are used in various guises throughout the water industry. As well as being commonly linked to relational databases to form asset management systems and to geographic information systems (GIS) to provide visualisation and mapping facilities, common applications include modelling the hydraulic performance of the network and use in network optimisation applications. This paper describes an architecture for an integrated optimisation application, GAnet, which comparises a GA application, a GIS and a hydraulic network solver.
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ISSN:	0965-9978
DOI:	10.1016/S0965-9978(00)00107-1