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 |
Appears in Collections: | Тези доповідей |
Files in This Item:
File | Description | Size | Format | |
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82 конф НУХТ 2.pdf | 304,85 kB | Adobe PDF | View/Open |
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