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- W2391878994 abstract "In order to solve the problem of low accuracy of the parameters identification of the solar cell,a new artificial bee swarm algorithm(ABS) based on scouts adjusting phase joining forgetting factor and neighborhood factor is proposed.ABS algorithm in the early stage of the search by forgetting factor and neighborhood factor can make scouts to adjust path,which can quickly converge to the optimal food source area and can improve the global convergence performance in late search.The experiment and analysis show that the optimized precision of ABS algorithm is superior to particle swarm optimization algorithm,the pattern search algorithm,simulated annealing algorithm and genetic algorithm.So a new method is provided for parameter identification." @default.
- W2391878994 created "2016-06-24" @default.
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- W2391878994 date "2015-01-01" @default.
- W2391878994 modified "2023-09-26" @default.
- W2391878994 title "Application of Artificial Bee Swarm Algorithm in Solar Cell Parameters Identification" @default.
- W2391878994 hasPublicationYear "2015" @default.
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