Please use this identifier to cite or link to this item: https://dspace.nuft.edu.ua/jspui/handle/123456789/24689
Title: Genetic algorithm in optimization tasks
Authors: Polupan, Vladimir
Cherednichenko, Galina
Keywords: programming
genetic algorithms
програмування
генетичні алгоритми
программирование
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.
URI: http://dspace.nuft.edu.ua/jspui/handle/123456789/24689
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