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    Tabu search evolutionary algorithm for multiobjective optimization: application to a bi-criterion aircraft structural reliability problem, A

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    http://hdl.handle.net/10217/167203
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    Long_colostate_0053A_13179.pdf (2.988Mb)
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    Abstract
    Real-world engineering optimization problems often require the consideration of multiple conflicting and noncommensurate objectives, subject to nonconvex constraint regions in a high-dimensional decision space. Further challenges occur for combinatorial multiobjective problems in which the decision variables are not continuous. Traditional multiobjective optimization methods of operations research, such as weighting and epsilon constraint methods, are ill-suited to solving these complex, multiobjective problems. This has given rise to the application of a wide range of metaheuristic optimization ...
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    Author(s)
    Long, Kim Chenming.

    Advisor(s)
    Duff, William S.; Labadie, John W.

    Date Issued
    2015
    Format
    born digital; doctoral dissertations
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    • 2000-2019 - CSU Theses and Dissertations
    • Theses and Dissertations - Department of Mechanical Engineering

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