%0 Journal Article
%T Three decades of the Shuffled Complex Evolution (SCE-UA) optimization algorithm: Review and applications
%J Scientia Iranica
%I Sharif University of Technology
%Z 1026-3098
%A Rahnamay Naeini, M.
%A Analui, B.
%A Gupta, H.V.
%A Duan, Q.
%A Sorooshian, S.
%D 2019
%\ 08/01/2019
%V 26
%N Issue 4: Special Issue Dedicated to Professor Abolhassan Vafai
%P 2015-2031
%! Three decades of the Shuffled Complex Evolution (SCE-UA) optimization algorithm: Review and applications
%K optimization
%K Hydrology
%K Shuffled Complex Evolution
%K SCE-UA
%K Water Resources
%K Evolutionary algorithm
%K Multi-objective
%K Uncertainty assessment
%R 10.24200/sci.2019.21500
%X The Shuffled Complex Evolution (SCE-UA) method developed at the University of Arizona is a global optimization algorithm, initially developed by [1] for the calibrationof conceptual rainfall-runoff (CRR) models. SCE-UA 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 SCE-UA algorithm and its later advancements. We also present a survey of illustrative applications of the SCE-UA algorithm and discuss its extensions to multi-objective problems and touncertainty assessment. Finally, we suggest potential directions for future investigation.
%U https://scientiairanica.sharif.edu/article_21500_450f38271fba3ad969d3c43c83635f5a.pdf