Abstract
The main evolutionary models are analyzed and overviewed. Structural schemes of evolutionary models are presented. Based on them, architectures for finding solutions of artificial intelligence problems are constructed. This allows one to develop decision-making algorithms with local optimums for a polynomial time. In the average, the complexity of the algorithms is quadratic.
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Original Russian Text © V.V. Kureichik, V.M. Kureichik, P.V. Sorokoletov, 2007, published in Izvestiya Akademii Nauk. Teoriya i Sistemy Upravleniya, 2007, No. 5, pp. 114–126.
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Kureichik, V.V., Kureichik, V.M. & Sorokoletov, P.V. Analysis and a survey of evolutionary models. J. Comput. Syst. Sci. Int. 46, 779–791 (2007). https://doi.org/10.1134/S1064230707050103
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DOI: https://doi.org/10.1134/S1064230707050103