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    A Feasibility Robust Optimization Method Using Sensitivity Region Concept

    Source: Journal of Mechanical Design:;2005:;volume( 127 ):;issue: 005::page 858
    Author:
    S. Gunawan
    ,
    S. Azarm
    DOI: 10.1115/1.1903000
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: We present a robust optimization method that ensures feasibility of an optimized design when there are uncontrollable variations in design parameters. This method is developed based on the notion of a sensitivity region, which is a measure of how far a feasible design is from the boundary of a feasible domain in the parameter variation space. In this method, as the design moves further inside the feasible domain, and thus becoming more feasibly robust, the sensitivity region becomes larger. Our method is not sampling based so it does not require a presumed probability distribution as input and is reasonably efficient in terms of function evaluations. In addition, our method does not use gradient approximation and thus is applicable to problems that have nondifferentiable constraint functions and large parameter variations. As a demonstration, we applied our method to an engineering example, the design of a control valve actuator linkage. In this example, we show that our method finds an optimum design which is feasibly robust.
    keyword(s): Design , Optimization , Robustness AND Probability ,
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      A Feasibility Robust Optimization Method Using Sensitivity Region Concept

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    http://yetl.yabesh.ir/yetl1/handle/yetl/132266
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    contributor authorS. Gunawan
    contributor authorS. Azarm
    date accessioned2017-05-09T00:17:08Z
    date available2017-05-09T00:17:08Z
    date copyrightSeptember, 2005
    date issued2005
    identifier issn1050-0472
    identifier otherJMDEDB-27813#858_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/132266
    description abstractWe present a robust optimization method that ensures feasibility of an optimized design when there are uncontrollable variations in design parameters. This method is developed based on the notion of a sensitivity region, which is a measure of how far a feasible design is from the boundary of a feasible domain in the parameter variation space. In this method, as the design moves further inside the feasible domain, and thus becoming more feasibly robust, the sensitivity region becomes larger. Our method is not sampling based so it does not require a presumed probability distribution as input and is reasonably efficient in terms of function evaluations. In addition, our method does not use gradient approximation and thus is applicable to problems that have nondifferentiable constraint functions and large parameter variations. As a demonstration, we applied our method to an engineering example, the design of a control valve actuator linkage. In this example, we show that our method finds an optimum design which is feasibly robust.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleA Feasibility Robust Optimization Method Using Sensitivity Region Concept
    typeJournal Paper
    journal volume127
    journal issue5
    journal titleJournal of Mechanical Design
    identifier doi10.1115/1.1903000
    journal fristpage858
    journal lastpage865
    identifier eissn1528-9001
    keywordsDesign
    keywordsOptimization
    keywordsRobustness AND Probability
    treeJournal of Mechanical Design:;2005:;volume( 127 ):;issue: 005
    contenttypeFulltext
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