Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions

By Holger R. Maier, Zoran Kapelan, Joseph R. Kasprzyk, Joshua B. Kollat, L. Matott, M. Cunha, Graeme C. Dandy, M. Gibbs, E. Keedwell, A. Marchi and 12 more. Environmental Modelling & Software, 2014

596 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Civil and Structural Engineering, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/955a49753300c0ccee9f23e90f0ad961ccb647fd

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Qi Feng
2. Xiaohu Wen
3. Zhi-bin He
4. Jianhua Si
5. Lin-shan Yang
6. Zhenliang Yin
7. Ravinesh C. Deo

In Civil and Structural Engineering

1. Ravinesh C. Deo

In Ocean Engineering

1. Ravinesh C. Deo

Citations in the corpus

• Design and evaluation of SVR, MARS and M5Tree models for 1, 2 and 3-day lead time forecasting of river flow data in a semiarid mountainous catchment (2018, background): “Over the past few decades, EC and W-AI models have been greatly dedicated to the river flow forecasting problems (Dumedah 2015; Friedel 2011; Kisi 2010; Liu et al. 2014; Maier et al. 2014; Mehr et al. 2013; Nourani et al. 2011; Tran et al. 2015; Whigham and Crapper 2001; Zimmer et al. 2015).”
• The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support (2020, unknown): “…of Optimization contains a vast variety of approaches, methods and applications, all these may boil down to a common, well-defined philosophy, that is, to find an optimal solution to a formulated problem given certain objective functions and constraints (Maier et al., 2014; Maier et al., 2019).”