Comparative analysis of Simulated Annealing, Simulated Quenching and Genetic Algorithms for optimal reservoir operation
2008; Elsevier BV; Volume: 9; Issue: 1 Linguagem: Inglês
10.1016/j.asoc.2007.09.002
ISSN1872-9681
AutoresA. Vasan, Komaragiri Srinivasa Raju,
Tópico(s)Irrigation Practices and Water Management
ResumoThe 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.
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