Azamathulla, H.H.AzamathullaWu, Fu-ChunFu-ChunWuGhani, AminuddinAminuddinGhaniNarulkar, Sandeep M.Sandeep M.NarulkarZakaria, Nor AzaziNor AzaziZakariaChang, Chun KiatChun KiatChang2010-01-132018-06-292010-01-132018-06-292008http://ntur.lib.ntu.edu.tw//handle/246246/176368There is an increasing awareness among irrigation planners and engineers to design and operate reservoir systems for maximum efficiency to maximise their benefits. Accordingly, significant work has been done on reservoir operation for known total irrigation demand and on the optimal allocation of water available to crops at the farm level. This present paper deals with the development and comparison of two models -a Genetic Algorithm (GA) and Linear Programming (LP) - to be applied to real-time reservoir operation in an existing Chiller reservoir system in Madhya Pradesh, India. Their performance is analysed, and from the results, the GA model is found to be superior to the LP model. © 2008 International Association for Hydraulic Engineering and Research, Asia Pacific Division.application/pdf309543 bytesapplication/pdfen-USCropping pattern; Irrigation management; Optimization; Water resource management[SDGs]SDG6Algorithms; Dynamic programming; Genetic algorithms; Information management; Irrigation; Linearization; Management; Particle size analysis; Reservoirs (water); Resource allocation; Water management; Water resources; Cropping pattern; Irrigation demands; Irrigation management; LP models; Maximum efficiencies; Optimal allocations; Real times; Reservoir operations; Reservoir systems; Water resource management; Linear programming; cropping practice; genetic algorithm; irrigation; linear programing; optimization; planning method; water management; water resource; Asia; Eurasia; India; Madhya Pradesh; South Asiajournal article10.1016/j.jher.2008.10.001http://ntur.lib.ntu.edu.tw/bitstream/246246/176368/1/25.pdf