Abstract
In this paper, a multiobjective modified clonal selection algorithm based on the use of the notion «Pareto set», 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. The results of experimental studies which confirm the efficiency of the offered multiobjective clonal selection algorithm have been given.
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