incremental learning with statistical algorithms or neural networks, rather than evolutionary algorithms. The work in this paper … employs genetic algorithms (GAs) as basic learning algorithms for incremental learning within one or more classifier agents in …

analyzed and suitable forecasting algorithms are proposed. In enterprises with multidimensional and heterogeneous demand it is … advisable to use different algorithms for different demand constituents and to readjust parameters used for forecasting … forecasted demand from factual values, to select algorithms giving minimal perсentage error, and to adjust algorithms parameters …

estimation. The present paper provides a possible solution to the problem using nonstandard optimisation algorithms. The … properties of the algorithms are discussed. A Monte Carlo study illustrates the potential of the new method. …