Please use this identifier to cite or link to this item:
Title: Genetic algorithm in optimization tasks
Authors: Polupan, Vladimir
Cherednichenko, Galina
Keywords: programming
genetic algorithms
генетичні алгоритми
генетические алгоритмы
кафедра автоматизації та комп'ютерних технологій систем управління
Issue Date: 2016
Citation: Polupan, V. Genetic algorithm in optimization tasks / V. Polupan, G. Cherednichenko // Youth scientific achievements to the 21st century nutrition problem solution : 82 International scientific conference of young scientist and students, 13–14 April 2016. – Part 4. – Kyiv : NUFT, 2016. – P. 206.
Abstract: Many, if not most, optimization problems have multiple objectives. Historically, multiple objectives have been combined ad hoc to form a scalar objective function, usually through a linear combination (weighted sum) of the multiple attributes, or by turning objectives into constraints.
Appears in Collections:Тези доповідей

Files in This Item:
File Description SizeFormat 
82 конф НУХТ 2.pdf304,85 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.