Optimization of Water Releases from Ukai Reservoir Using Jaya Algorithm

  • Vijendra KumarEmail author
  • S. M. Yadav
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 949)


The scarcity of water resources is one of the most pervasive natural resource allocation problems faced by the water users and policymakers. Reservoir operation is the best solution to obtain its utmost possible performance. In the present study, the Jaya algorithm (JA) has been applied to optimize the water releases from Ukai reservoir at different dependable inflows. The model is optimized for four different dependable inflows namely 60, 65, 70, and 75%. The results from JA are compared with teaching–learning-based optimization (TLBO), particle swarm optimization (PSO), differential evolution (DE), and linear programming (LP). It was observed that JA performed better than TLBO, PSO, DE, and LP. The global optimum solution obtained using JA for 60, 65, 70, and 75% dependable inflow are 3224.620, 4023.200, 4672.800, and 5351.120, respectively in MCM. Based on the results, it is concluded that JA outperformed over TLBO, PSO, DE, and LP.


Optimization Reservoir operation Jaya algorithm Ukai dam Teaching–learning-based optimization 



The authors like to thank Dr. R. V. Rao, Professor, Mechanical Engineering Department, SVNIT, and Mr. Ankit Saroj Research Scholar, SVNIT, for helping and guiding. The authors would also like to acknowledge with deep sense of gratitude the valuable help received from the authorities of Sardar Vallabhbhai National Institute of Technology (SVNIT) and the P. G. Section of Water Resources Engineering.


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© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Civil Engineering DepartmentSardar Vallabhbhai National Institute of TechnologySuratIndia

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