Genetic algorithms of physical modelling with postcrossover survival

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...

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Bibliographic Details
Published in:IOP conference series. Materials Science and Engineering 2018-11, Vol.450 (4), p.42008
Main Authors: Degtyarev, A S, Usakov, V I, Kuznetsov, P A, Kovalev, I V, Karaseva, T S
Format: Article
Language:English
Subjects:
Algorithms
Genetic algorithms
Mathematical analysis
Mathematical models
Randomness
Synthesis
Online Access:Get full text
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Summary: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.
ISSN:1757-8981
1757-899X
1757-899X
DOI:10.1088/1757-899X/450/4/042008