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Water Resources Management

Erschienen in:

04.06.2018

Improved Krill Algorithm for Reservoir Operation

verfasst von: Hojat Karami, Sayed Farhad Mousavi, Saeed Farzin, Mohammad Ehteram, Vijay P. Singh, Ozgur Kisi

Erschienen in: Water Resources Management | Ausgabe 10/2018

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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.

Vorheriger Artikel Self-Adaptive Solution-Space Reduction Algorithm for Multi-Objective Evolutionary Design Optimization of Water Distribution Networks

Nächster Artikel Synchronizing Artificial Intelligence Models for Operating the Dam and Reservoir System

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Titel: Improved Krill Algorithm for Reservoir Operation
verfasst von: Hojat Karami
Sayed Farhad Mousavi
Saeed Farzin
Mohammad Ehteram
Vijay P. Singh
Ozgur Kisi
Publikationsdatum: 04.06.2018
Verlag: Springer Netherlands
Erschienen in: Water Resources Management / Ausgabe 10/2018
Print ISSN: 0920-4741
Elektronische ISSN: 1573-1650
DOI: https://doi.org/10.1007/s11269-018-1995-4

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