Title of article :
Three decades of the Shuffed Complex Evolution (SCE-UA) optimization algorithm: Review and applications
Author/Authors :
Rahnamay Naeini, M Department of Civil and Environmental Engineering - University of California - Irvine, USA , Analui, B Department of Civil and Environmental Engineering - University of California - Irvine, USA , Gupta, H.V Department of Hydrology & Atmospheric Sciences - The University of Arizona - Tucson, USA , Duan, Q Faculty of Geographical Sciences - Beijing Normal University - Beijing, China , Sorooshian, S Department of Earth System Science - University of California - Irvine, USA
Abstract :
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 effcient 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.
Keywords :
Optimization , Hydrology , SCE-UA , Water resources , Evolutionary algorithm , Uncertainty assessment
Journal title :
Scientia Iranica(Transactions A: Civil Engineering)
