A Case Study to Optimise the Operation Schedule for Irrigation Reservoir Using Harmony Search Algorithm

Irrigated agriculture is widely regarded as the primary cause of water scarcity due to poor management. The key to management is the wise use of water to enhance agricultural yield. System optimisation and analysis are used to achieve this. The reservoirs are essential to the management of water in the majority of non-perennial rivers. Because building a reservoir is an expensive endeavor, it must be planned and run as effectively as possible to reap the greatest benefits. The irrigation reservoirs place a strong emphasis on maximising crop yield in its commanded area. Numerous mathematical programming strategies are used to achieve the best operation. Meta-heuristic optimisation strategies have gained popularity recently. Another meta-heuristic optimisation method that has been successful in reservoir problems is the Harmony Search Algorithm (HSA). The major goal of the paper is to show how HSA has the ability to improve regulation policies that allocate the reservoir’s water storage across diverse crops in the best possible fortnights. An irrigation reservoir in Central India is used as a case study in order to increase crop yields during the dry season.