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《Engineering Journal of Wuhan University》 2017-02
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Improvement of wolf pack search algorithm and its application to optimal operation of reservoirs

WANG Jianqun;JIAO Yu;College of Hydrology and Water Resources,Hohai University;  
In order to more effectively applying the wolf pack algorithm to optimal operation of reservoirs,the improvement of the wolf pack search algorithm(WPA)is studied.To overcome defects of WPA such as overemphasis of the individual independence,failing to share information among groups and learn individual historical experience,the call raid operator and the siege prey operator are improved;and a new wolf pack search algorithm(NWPA)is proposed.Simulation experiments based on the benchmark functions and the example of the reservoir optimal operation are carried out to test the comprehensive performance of the NWPA compared with the particle swarm optimization algorithm(PSO)and WPA.The effective range of the critical parameters of NWPA are studied with the simulation experiments.The results show that the searching ability and convergence speed of NWPA has an obvious improvement compared with PSO and WPA.The effective value range and the recommended value of the parameters are given;and the parameter value basis is provided for the application of NWPA to the optimal operation of reservoirs.
【Fund】: 国家重点研发计划课题(编号:2016YFC0400909);; 国家自然科学基金项目(编号:41371047)
【CateGory Index】: TV697.1;TP18
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