Abstract
The algorithm which carries out the multiobjective optimization at realization of the modified clonal selection algorithm based on the use of the notion «Pareto set» when the parental population of antibodies should be created for development of the forecasting models on the base of the strictly binary trees has been offered. Two indicators of quality of the forecasting model – the affinity indicator based on the calculation of the average forecasting error rate, and the tendencies discrepancy indicator – are applied in the role of the objective functions. The results of experimental studies which confirm the efficiency of application of the offered algorithm have been given.
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