YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • ASCE
    • Journal of Hydrologic Engineering
    • View Item
    •   YE&T Library
    • ASCE
    • Journal of Hydrologic Engineering
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    Optimal Groundwater Management Using Multiobjective Particle Swarm with a New Evolution Strategy

    Source: Journal of Hydrologic Engineering:;2014:;Volume ( 019 ):;issue: 006
    Author:
    Hamdy A. El-Ghandour
    ,
    Emad Elbeltagi
    DOI: 10.1061/(ASCE)HE.1943-5584.0000910
    Publisher: American Society of Civil Engineers
    Abstract: Groundwater is considered as an important source of freshwater for a variety of purposes including drinking, domestic, industrial, and irrigation uses. Because of increasing population and life standards, there is a growing need for the optimum utilization of groundwater resources. In this paper, a multiobjective particle swarm optimization model with a new evolutionary strategy based on the compromise solution of the Pareto-front optimal solutions is presented. The advantage of this proposed model stems from using a unique Pareto-compromise solution to drive the fitness calculations of the evolutionary process. The new evolutionary strategy is verified on a variety of multiobjective standard test problems with either connected or disconnected Pareto fronts. The proposed multiobjective evolutionary strategy is reminiscent of single-objective optimization, in that its fitness assignment and convergence criteria are both based on tracking a single evolving solution over the search history. Details of the model development and implementation are described and an example application related to groundwater management is presented to demonstrate the capabilities of the proposed model. The proposed model showed its ability to drive the Pareto-optimal solution for the example application and consequently its ability to be applied in real-life groundwater management problems.
    • Download: (65.10Mb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Optimal Groundwater Management Using Multiobjective Particle Swarm with a New Evolution Strategy

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/63792
    Collections
    • Journal of Hydrologic Engineering

    Show full item record

    contributor authorHamdy A. El-Ghandour
    contributor authorEmad Elbeltagi
    date accessioned2017-05-08T21:50:21Z
    date available2017-05-08T21:50:21Z
    date copyrightJune 2014
    date issued2014
    identifier other%28asce%29he%2E1943-5584%2E0000942.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/63792
    description abstractGroundwater is considered as an important source of freshwater for a variety of purposes including drinking, domestic, industrial, and irrigation uses. Because of increasing population and life standards, there is a growing need for the optimum utilization of groundwater resources. In this paper, a multiobjective particle swarm optimization model with a new evolutionary strategy based on the compromise solution of the Pareto-front optimal solutions is presented. The advantage of this proposed model stems from using a unique Pareto-compromise solution to drive the fitness calculations of the evolutionary process. The new evolutionary strategy is verified on a variety of multiobjective standard test problems with either connected or disconnected Pareto fronts. The proposed multiobjective evolutionary strategy is reminiscent of single-objective optimization, in that its fitness assignment and convergence criteria are both based on tracking a single evolving solution over the search history. Details of the model development and implementation are described and an example application related to groundwater management is presented to demonstrate the capabilities of the proposed model. The proposed model showed its ability to drive the Pareto-optimal solution for the example application and consequently its ability to be applied in real-life groundwater management problems.
    publisherAmerican Society of Civil Engineers
    titleOptimal Groundwater Management Using Multiobjective Particle Swarm with a New Evolution Strategy
    typeJournal Paper
    journal volume19
    journal issue6
    journal titleJournal of Hydrologic Engineering
    identifier doi10.1061/(ASCE)HE.1943-5584.0000910
    treeJournal of Hydrologic Engineering:;2014:;Volume ( 019 ):;issue: 006
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian