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Genetic algorithms of physical modelling with postcrossover survival

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Published under licence by IOP Publishing Ltd
, , Citation A S Degtyarev et al 2018 IOP Conf. Ser.: Mater. Sci. Eng. 450 042008 DOI 10.1088/1757-899X/450/4/042008

1757-899X/450/4/042008

Abstract

This paper describes the peculiarities of the system synthesis algorithms realization. The system synthesis algorithms are divided into some categories. They are divided according to the synthesized system as algorithms of the mathematical models synthesis and algorithms of physical models synthesis. Mathematical modelling is a setting process of the corresponding mathematical object (a mathematical model) to the real object. In physical modelling a real investigated system is replaced by another fitting physical model reproducing properties of the model that keeps its physical nature. Applying randomness and probabilistic processes the algorithms can be divided into stochastic and deterministic algorithms. A deterministic algorithm is an algorithm with the strictly defined rules. The deterministic algorithms involve all the determined rules. Stochastic algorithms have some uncertainty and use random values at some stage of its functioning. The choice of the algorithm depends on the problem's requirements.

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10.1088/1757-899X/450/4/042008