Multiobjective clonal selection algorithm for solving forecasting problems

被引：0
|
作者：
Astakhova, N. N. [1 ]
Demidova, L. A. [1 ,2 ]
Kuzovnikov, A. V. [3 ]
Tishkin, R. V. [1 ]
机构：
[1] Ryazan State Radio Engn Univ, Gagarin Str 59-1, Ryazan 390005, Russia
[2] Moscow Technol Inst, Leninskiy Pr 38A, Moscow 119334, Russia
[3] JSC Academician MF Reshetnev Informat Satellite S, Lenin St 52, Zheleznogorsk 662972, Krasnoyarsk Reg, Russia
来源：
V INTERNATIONAL WORKSHOP ON MATHEMATICAL MODELS AND THEIR APPLICATIONS 2016 | 2017年 / 173卷
关键词：
D O I：
10.1088/1757-899X/173/1/012004
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The multiobjective modified clonal selection algorithm based on the use of the notion "Pareto dominance", which can be applied for the development of the forecasting models on the base of the strictly binary trees has been offered. It is suggested to use the affinity indicator based on the average forecasting error rate, and the tendencies discrepancy indicator in the role of the objective functions of this algorithm. The multiobjective modified clonal selection algorithm can be applied for solving problems of individual and groups' forecasting. The experimental results which confirm the efficiency of the offered algorithm in comparison with the basic modified clonal selection algorithm have been given.
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页数：12
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