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three decades of the shuffled complex evolution (sce-ua) optimization algorithm: review and applications
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نویسنده
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rahnamay naeini m. ,analui b. ,gupta h.v. ,duan q. ,sorooshian s.
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منبع
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scientia iranica - 2019 - دوره : 26 - شماره : 4-A - صفحه:2015 -2031
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چکیده
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The shuffled complex evolution (sceua) method developed at the university of arizona is a global optimization algorithm, initially developed by [1] for the calibrationof conceptual rainfallrunoff (crr) models. sceua searches for the global optimumof a function by evolving clusters of samples drawn from the parameter space, via a systematiccompetitive evolutionary process. being a general purpose global optimization algorithm, it has found widespread applications across a diverse range of science and engineering fields. here, we recount the history of the development of the sceua algorithm and its later advancements. we also present a survey of illustrative applications of the sceua algorithm and discuss its extensions to multiobjective problems and touncertainty assessment. finally, we suggest potential directions for future investigation.
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کلیدواژه
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optimization ,hydrology ,shuffled complex evolution ,sce-ua ,water resources ,evolutionary algorithm ,multi-objective ,uncertainty assessment
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آدرس
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university of california, center for hydrometeorology and remote sensing (chrs), department of civil and environmental engineering, usa, university of california, center for hydrometeorology and remote sensing (chrs), department of civil and environmental engineering, usa, the university of arizona, department of hydrology & atmospheric sciences, usa, beijing normal university, faculty of geographical sciences, china, university of california, center for hydrometeorology and remote sensing (chrs), department of civil and environmental engineering, usa. university of california, department of earth system science, usa
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پست الکترونیکی
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soroosh@uci.edu
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Authors
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