Application of Differential Evolution for Irrigation Planning: An Indian Case Study

By Arunchandar Vasan, K. Raju. 2007

49 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Ocean Engineering, Soil Science

View Paper: https://www.semanticscholar.org/paper/7ca1b3bd727b0908525af198958acb8d544a9a75

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. O. Bozorg‐Haddad
2. Arvin Samadi-Koucheksaraee
3. Iman Ahmadianfar

In Ocean Engineering

1. O. Bozorg‐Haddad
2. Arvin Samadi-Koucheksaraee
3. Iman Ahmadianfar

In Soil Science

1. O. Bozorg‐Haddad
2. Arvin Samadi-Koucheksaraee
3. Iman Ahmadianfar

Citations in the corpus

• Differential Evolution for Prediction of Longitudinal Dispersion Coefficients in Natural Streams (2013, background): “Moreover, DE has been proved to be quite efficient when solving real-world problems (Brest et al. 2006; Rahnamayan et al. 2008; Qin et al. 2009; Li et al. 2011; Li and Yin 2012a, b, 2013, 2012a, b; Neri and Tirronen 2009; Zhang and Sanderson 2009; Qin et al. 2010; Vasan and Raju 2007).”
• Extracting Optimal Policies of Hydropower Multi-Reservoir Systems Utilizing Enhanced Differential Evolution Algorithm (2017, methodology): “(Vasan and Raju 2007) applied DE algorithm to a high dimensional irrigation planning problem, namely Mahi Bajaj Sagar Project (MBSP) and concluded that DE can be used as a successful optimization algorithm.”