The Shuffled Complex Evolution (SCE-UA) method developed at the University of Arizona is a global optimization algorithm, initially developed by Duan et al. [Duan, Q., Sorooshian, S., and Gupta, V. "Effective and efficient global optimization for conceptual rainfall-runoff models", Water Resources Research, 28(4), pp. 1015-1031 (1992)]. for the calibration of Conceptual Rainfall-Runoff (CRR) models. SCE-UA searches for the global optimum of a function by evolving clusters of samples drawn from the parameter space, via a systematic competitive 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 to uncertainty assessment. Finally, we suggest potential directions for future investigation. (C) 2019 Sharif University of Technology. All rights reserved.
1.Univ Calif Irvine, CHRS, Irvine, CA 92697 USA 2.Univ Calif Irvine, Dept Civil & Environm Engn, Irvine, CA 92697 USA 3.Univ Arizona, Dept Hydrol & Atmospher Sci, Tucson, AZ USA 4.Beijing Normal Univ, Fac Geog Sci, Beijing, Peoples R China 5.Univ Calif Irvine, Dept Earth Syst Sci, Irvine, CA USA
Recommended Citation:
Naeini, M. Rahnamay,Analui, B.,Gupta, H., V,et al. Three decades of the Shuffled Complex Evolution (SCE-UA) optimization algorithm: Review and applications[J]. SCIENTIA IRANICA,2019-01-01,26(4):2015-2031