The modified genetic algorithm for the algorithms’ compositions formation that improve gradient images
The report describes the developed and tested modified genetic algorithm for obtaining and improving gradient images. The algorithm’s application for solving the image pre-processing practical problem for solving the problem of automatic control of the geometric dimensions of the products located on the conveyor belt is demonstrated.
The target audience: programmers, researchers.
Head of laboratory of robotics and digital technologies, State Educational Institution of Higher Education of Moscow Region “State University of Humanities and Social Studies”
Professor, Federal State Budgetary Educational Institution of Higher Education “Ryazan State Radio Engineering University named after V.F. Utkin”
Professor of the Department of Computational and applied mathematics, Ryazan state radio engineering University.
The main directions of scientific activity: mathematical modeling and forecasting of socio-economic processes; information and software information and intelligent systems. The list of scientific and methodical works includes more than 160 titles.
Member of the editorial Board of the journal “Business Informatics”.