Determination of Optimal Water Resource Management through a Fuzzy Multiobjective Programming and Genetic Algorithm: Case Study in Kinman, Taiwan

dc.contributor.author	Chi-Feng Chen
dc.contributor.author	Yen-Chang Chen
dc.contributor.author	Jen-Yang Lin
dc.date.accessioned	2017-05-08T21:30:06Z
dc.date.available	2017-05-08T21:30:06Z
dc.date.copyright	April 2008
dc.date.issued	2008
dc.identifier.other	%28asce%291090-025x%282008%2912%3A2%2886%29.pdf
dc.identifier.uri	http://yetl.yabesh.ir/yetl/handle/yetl/53901
dc.description.abstract	Given the increase in demands on water resources, optimal management policy has been sought for minimum resource utilities and maximum environmental benefits. Since the water resource system is complicated and has many uncertainties, artificial intelligence techniques, like
dc.publisher	American Society of Civil Engineers
dc.title	Determination of Optimal Water Resource Management through a Fuzzy Multiobjective Programming and Genetic Algorithm: Case Study in Kinman, Taiwan
dc.type	Journal Paper
dc.journal.volume	12
dc.journal.issue	2
dc.journal.title	Practice Periodical of Hazardous, Toxic, and Radioactive Waste Management
dc.identifier.doi	10.1061/(ASCE)1090-025X(2008)12:2(86)
dc.tree	Practice Periodical of Hazardous, Toxic, and Radioactive Waste Management:;2008:;Volume ( 012 ):;issue: 002
dc.contenttype	Fulltext