Generation of project solutions on choosing of mechanical assembly production of the Industry 4.0 using operators of genetic algorithms

• Published in: IOP conference series. Materials Science and Engineering Vol. 560; no. 1; pp. 12207 - 12211
• Main Authors: Zakoldaev, D A, Gurjanov, A V, Shukalov, A V, Zharinov, I O
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.06.2019
• Subjects: Assembly; Genetic algorithms; Multiple criterion; Operators
• ISSN: 1757-8981; 1757-899X; 1757-899X
• DOI: 10.1088/1757-899X/560/1/012207

The current task of automatic generation of project solutions on choosing of the mechanical and assembly production of the Industry 4.0 smart factory is considered. Choosing of the mechanical and assembly production is a multi-criteria task, which is due to the variety of cyber and physical systems of different purpose. Choosing of the mechanical and assembly production requires to determine the space of project alternatives, find a suitable way of project solutions coding, and define the mechanism of the project solutions automatic generation. The chart of classes is presented which are the part of the automatic generation process of the project solutions on choosing the technological appearance of the Industry 4.0 production division. The way of coding the project solutions based on binary sequences is presented. The scheme of the general algorithm of the project solutions automatic forming based on genetic algorithms operators is presented as well.