Forecasting of Energy Consumption in China Based on Ensemble Empirical Mode Decomposition and Least Squares Support Vector Machine Optimized by Improved Shuffled Frog Leaping Algorithm
نویسندگان
چکیده
منابع مشابه
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Article history: Accepted 11 July 2012
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In order to overcome the defects of Shuffled Frog Leaping Algorithm (SFLA) such as nonuniform initial population, slow searching speed in the late evolution and easily trapping into local extremum, a new Shuffled Frog Leaping Algorithm based on mutation operator and population diversity is proposed in this paper. The algorithm has overcome the disadvantage mentioned above. The algorithm efficie...
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ژورنال
عنوان ژورنال: Applied Sciences
سال: 2018
ISSN: 2076-3417
DOI: 10.3390/app8050678