Optimization of distribution piping network in district cooling system using genetic algorithm with local search

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dc.contributor.author	Hanby, V. I. (Victor Ian), 1942-
dc.contributor.author	Chan, A. L. S.
dc.contributor.author	Chow, Tin-Tai
dc.date.accessioned	2009-03-26T12:25:56Z
dc.date.available	2009-03-26T12:25:56Z
dc.date.issued	2007-07-03
dc.identifier.citation	Hanby, V.I., Chan, A.L.S. and Chow, T.T. (2007) Optimization of distribution piping network in district cooling system using genetic algorithm with local search. Energy Conversion and Management, 48 (10), pp. 2622-2748.	en
dc.identifier.issn	0196-8904
dc.identifier.uri	http://hdl.handle.net/2086/1445
dc.description	The research showed, for the first time, that evolutionary optimization methods could be applied to urban piping networks taking into account a wide range of practical constraints. Chan is a PhD student supervised by Hanby and was the lead author.	en
dc.language.iso	en	en
dc.publisher	Elsevier	en
dc.subject	RAE 2008	en
dc.subject	UoA 30 Architecture and the Built Environment	en
dc.title	Optimization of distribution piping network in district cooling system using genetic algorithm with local search	en
dc.type	Article	en
dc.identifier.doi	http://dx.doi.org/10.1016/j.enconman.2007.05.008
dc.researchgroup	Institute of Energy and Sustainable Development