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Improved Krill Algorithm for Reservoir Operation

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Abstract

Much of the world is facing water scarcity during one or the other part of the year. Hence, water resources management and optimal operation of water resources system take on added importance these days. This study introduces an improved version of krill algorithm for reservoir operation. The algorithm is based on adding an onlooker search mechanism to avoid being trapped in local optima and then updating its position. The new krill algorithm is tested using a case study for irrigation management. The computation time is 33 s for the new algorithm but is 54, 59, and 60 s for krill algorithm, particle swarm optimization and genetic algorithm, respectively. Also, the improved krill algorithm can meet 97% of irrigation demands and has the lowest value of vulnerability index among genetic algorithm, particle swarm optimization, and simple krill algorithm. Also, the average solution of improved krill algorithm is close to the global solution. Results indicate that the improved krill algorithm has high potential for application in water resource management.

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Authors and Affiliations

  1. Department of Water Engineering and Hydraulic Structures, Faculty of Civil Engineering, Semnan University, Semnan, Iran

    Hojat Karami, Sayed Farhad Mousavi, Saeed Farzin & Mohammad Ehteram

  2. Department of Biological and Agricultural Engineering, Zachry Department of Civil Engineering, Texas A&M University, 321 Scoates Hall, 2117 TAMU, College Station, TX, 77843-2117, USA

    Vijay P. Singh

  3. School of Natural Sciences and Engineering, Ilia State University, Tbilisi, Georgia

    Ozgur Kisi

Authors
  1. Hojat Karami
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  2. Sayed Farhad Mousavi
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  3. Saeed Farzin
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  4. Mohammad Ehteram
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  5. Vijay P. Singh
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  6. Ozgur Kisi
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Correspondence to Hojat Karami.

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Karami, H., Mousavi, S.F., Farzin, S. et al. Improved Krill Algorithm for Reservoir Operation. Water Resour Manage 32, 3353–3372 (2018). https://doi.org/10.1007/s11269-018-1995-4

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  • DOI: https://doi.org/10.1007/s11269-018-1995-4

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