Improved Krill Algorithm for Reservoir Operation

• Published in: Water resources management Vol. 32; no. 10; pp. 3353 - 3372
• Main Authors: Karami, Hojat, Mousavi, Sayed Farhad, Farzin, Saeed, Ehteram, Mohammad, Singh, Vijay P., Kisi, Ozgur
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer Netherlands 01.08.2018; Springer Nature B.V
• Subjects: Algorithms; Atmospheric Sciences; Case studies; Civil Engineering; Computation; Earth and Environmental Science; Earth Sciences; Environment; Euphausiacea; Genetic algorithms; Geotechnical Engineering & Applied Earth Sciences; Hydrogeology; Hydrology/Water Resources; Irrigation; irrigation management; Krill; Marine crustaceans; Mathematical models; Particle swarm optimization; Reservoir operation; Resource management; Resources; Vulnerability; Water resources; Water resources management; Water scarcity; water shortages; Particle swarm algorithm; Krill algorithm; Reservoir operation; Genetic algorithm
• ISSN: 0920-4741; 1573-1650
• DOI: 10.1007/s11269-018-1995-4

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.