1. Optimal reservoir operation using parametric elitist cuckoo search algorithm.
- Author
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Trivedi, M. and Shrivastava, R. K.
- Subjects
- *
PARTICLE swarm optimization , *SEARCH algorithms , *METAHEURISTIC algorithms , *WATER management , *RESERVOIRS , *HEURISTIC - Abstract
Optimal reservoir operation has become a challenging problem due to streamflow uncertainties. Frameworks for optimal reservoir operation play a vital role in the management of water resources. Effective and judicious utilisation of water from reservoirs helps in the management of periods of water deficit. The main objective in reservoir optimisation is to design operating rules that can be used to derive real-time decisions on reservoir release. In this study, a metaheuristic optimisation algorithm – the parametric elitist cuckoo search algorithm (Pecsa), based on the basic cuckoo search algorithm (CSA) – was applied to develop optimal operation decisions for the RSSR in the MRP, India. To evaluate the performance of Pecsa, the results obtained were compared with another heuristic method (the time-variant elitist mutation particle swarm optimisation algorithm) and with the standard CSA and particle swarm optimisation methods. Pecsa was found to improve system operation and outperformed the other methods in terms of achieving a faster convergence rate. Pecsa also showed only minor variations in the optimal pattern of release policies compared with those obtained using the standard CSA. The implications of the results and suggestions for further research are discussed. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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