DocumentCode :
3236843
Title :
Combining Clonal Selection Algorithm and Gene Expression Programming for Time Series Prediction
Author :
Litvinenko, V.I. ; Bidyuk, P.I. ; Bardachov, J.N. ; Sherstjuk, V.G. ; Fefelov, A.A.
Author_Institution :
Kherson Nat. Tech. Univ., Kyiv
fYear :
2005
fDate :
5-7 Sept. 2005
Firstpage :
133
Lastpage :
138
Abstract :
Dynamic system identification algorithm is developed using the basic mechanisms of clonal selection and idea of a new evolutionary computing paradigm - gene expression programming. On the basis of the algorithm developed a computer based system is proposed for making decisions relevant to forecasting of single variable and multivariate time series. The results of computing experiments achieved with the system developed show high quality of short and medium period forecasts.
Keywords :
forecasting theory; genetic algorithms; mathematics computing; time series; clonal selection algorithm; dynamic system identification algorithm; evolutionary computing; gene expression programming; multivariate time series forecasting; single variable time series forecasting; time series prediction; Algorithm design and analysis; Diversity reception; Dynamic programming; Gene expression; Genetic expression; Genetic programming; Immune system; Nonlinear dynamical systems; Software algorithms; Time series analysis; artificial immune systems; clonal selection algorithm; gene expression programming; time series;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2005. IDAACS 2005. IEEE
Conference_Location :
Sofia
Print_ISBN :
0-7803-9445-3
Electronic_ISBN :
0-7803-9446-1
Type :
conf
DOI :
10.1109/IDAACS.2005.282956
Filename :
4062107
Link To Document :
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