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    Hybrid Evolutionary Optimization/Heuristic Technique for Water System Expansion and Operation

    Source: Journal of Water Resources Planning and Management:;2016:;Volume ( 142 ):;issue: 005
    Author:
    Mark Morley
    ,
    Carla Tricarico
    DOI: 10.1061/(ASCE)WR.1943-5452.0000594
    Publisher: American Society of Civil Engineers
    Abstract: This paper presents a methodological solution to The Battle of Background Leakage Assessment for Water Networks (BBLAWN) competition. The methodology employs two constrained multiple-objective optimization problems and is implemented in the context of a software application for the generic hydraulic optimization and benchmarking of water distribution system (WDS) problems. The objectives are the combined infrastructure and operational costs and system-wide leakage, both to be minimized. In order to accelerate the evaluation of potential solutions, a distributed computing approach permits multiple
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      Hybrid Evolutionary Optimization/Heuristic Technique for Water System Expansion and Operation

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    contributor authorMark Morley
    contributor authorCarla Tricarico
    date accessioned2017-05-08T22:27:52Z
    date available2017-05-08T22:27:52Z
    date copyrightMay 2016
    date issued2016
    identifier other45819229.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/81040
    description abstractThis paper presents a methodological solution to The Battle of Background Leakage Assessment for Water Networks (BBLAWN) competition. The methodology employs two constrained multiple-objective optimization problems and is implemented in the context of a software application for the generic hydraulic optimization and benchmarking of water distribution system (WDS) problems. The objectives are the combined infrastructure and operational costs and system-wide leakage, both to be minimized. In order to accelerate the evaluation of potential solutions, a distributed computing approach permits multiple
    publisherAmerican Society of Civil Engineers
    titleHybrid Evolutionary Optimization/Heuristic Technique for Water System Expansion and Operation
    typeJournal Paper
    journal volume142
    journal issue5
    journal titleJournal of Water Resources Planning and Management
    identifier doi10.1061/(ASCE)WR.1943-5452.0000594
    treeJournal of Water Resources Planning and Management:;2016:;Volume ( 142 ):;issue: 005
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian