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dc.contributor.authorWang, Q
dc.contributor.authorSavic, D
dc.contributor.authorKapelan, Z
dc.date.accessioned2017-02-06T12:01:48Z
dc.date.issued2017-03-11
dc.description.sponsorshipThe first author would like to appreciate the financial support given by both the University of Exeter and the China Scholarship Council (CSC) toward the PhD research. We also appreciate the three anonymous reviewers, who help improve the quality of this paper substantially. The source code of the latest versions of NSGA-II and ε-MOEA can be downloaded from the official website of Kanpur Genetic Algorithms Laboratory via http://www.iitk.ac.in/kangal/codes.shtml. The description of each benchmark problem used in this paper, including the input file of EPANET and the associated best-known Pareto front, can be accessed from the following link to the Centre for Water Systems (http://tinyurl.com/cwsbenchmarks/). GALAXY can be accessed via http://tinyurl.com/cws-galaxy.
dc.identifier.citationPublished online 11 March 2017en_GB
dc.identifier.doi10.1002/2016WR019854
dc.identifier.urihttp://hdl.handle.net/10871/25609
dc.language.isoenen_GB
dc.publisherAmerican Geophysical Union / Wileyen_GB
dc.rights.embargoreasonPublisher policyen_GB
dc.titleGALAXY: A new hybrid MOEA for the Optimal Design of Water Distribution Systemsen_GB
dc.typeArticleen_GB
dc.identifier.issn0043-1397
dc.descriptionThis is the final version of the article. Available from American Geophysical Union via the DOI in this record.
dc.identifier.journalWater Resources Researchen_GB


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