Open AccessModelling of the process of a program compilation according to the training sample data using the collective intelligence of the simplest computers
Author(s) -
V. I. Protasov,
Zinaida Potapova
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1925/1/012084
Subject(s) - computer science , crossover , genetic programming , coding (social sciences) , field (mathematics) , sample (material) , software , theoretical computer science , programming language , artificial intelligence , mathematics , chromatography , statistics , chemistry , pure mathematics
The description of the system intended for genetic programming and consisting of a large number of elementary computers is given. Commands and data are placed in a cell consisting of four fields – the first address field, the second address field, the arithmetic field and the result field. This architecture made it possible to place a software binary tree formed by commands and addresses into sequentially located cells of an elementary computer. This technique made it possible to simplify the crossover and mutation operators, as well as the coding of the problem without involving complex programming systems and supercomputers. In the future, it is planned to use table processors tested on complex problems of genetic programming to significantly reduce power consumption in on-board computers of aviation and space technology.