Polupan, VladimirCherednichenko, Galina2016-12-232016-12-232016Polupan, V. Genetic algorithm for multi objective optimization / V. Polupan, G. Cherednichenko // Food Science for Well-being (CEFood 2016) : 8th Central European Congress on Food, 23–26 May 2016. – Kyiv : NUFT, 2016. – P. 105.https://dspace.nuft.edu.ua/handle/123456789/24688Many, 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.otherprogramminggenetic algorithmsпрограмуваннягенетичні алгоритмипрограммированиегенетические алгоритмыкафедра автоматизації та комп'ютерних технологій систем управління ім. проф. А.П. ЛаданюкаThesis