Abstract
The Shuffled Complex Evolution (SCE-UA) method developed at the University of Arizona is a global optimizat ion algorithm, initially developed by Duan et. al. [Duan, ()., Sorooshian, S., and Gupta, V. "Effective and efficient global optimization for conceptual rainfall-runoff models", Water Resources Research.4 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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 2015-2031 |
| Number of pages | 17 |
| Journal | Scientia Iranica |
| Volume | 26 |
| Issue number | 4A |
| DOIs | |
| State | Published - 2019 |
| Externally published | Yes |
Keywords
- Evolutionary algorit hm
- Hydrology
- Mult i-object ive
- Optimizat ion
- Shuffled complex evolution, sce-ua
- Uncertainty assessment
- Water resources
ASJC Scopus subject areas
- Computer Science (miscellaneous)
- Chemistry (miscellaneous)
- Civil and Structural Engineering
- Materials Science (miscellaneous)
- General Engineering
- Mechanical Engineering
- Physics and Astronomy (miscellaneous)
- Industrial and Manufacturing Engineering