| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 496852 | Applied Soft Computing | 2009 | 8 Pages |
Abstract
The present study deals with the application of non-traditional optimization techniques, namely, Simulated Annealing (SA), Simulated Quenching (SQ) and Real-coded Genetic Algorithms (RGA) to a case study of Mahi Bajaj Sagar Project, India. The objective of the study is to maximize the annual net benefits subjected to various irrigation planning constraints for 75% dependable flow scenario. Extensive sensitivity analysis on various parameters used in above techniques indicated that they yielded same solution corresponding to a set of optimal combination of parameters. It is concluded that SA, SQ and RGA can be utilized for efficient planning of any irrigation system with suitable modifications.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
A. Vasan, Komaragiri Srinivasa Raju,