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


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