Evolutionary Algorithms for Food Science and TechnologyКНИГИ » НАУКА И УЧЕБА
Название: Evolutionary Algorithms for Food Science and Technology Автор: Evelyne Lutton, Nathalie Perrot, Alberto Tonda Издательство: Wiley Год: 2016 ISBN: 9781119136835 Формат: pdf Страниц: 182 Размер: 10,7 mb Язык: English
Researchers and practitioners in food science and technology routinely face several challenges, related to sparseness and heterogeneity of data, as well as to the uncertainty in the measurements and the introduction of expert knowledge in the models. Evolutionary algorithms (EAs), stochastic optimization techniques loosely inspired by natural selection, can be effectively used to tackle these issues. In this book, we present a selection of case studies where EAs are adopted in real-world food applications, ranging from model learning to sensitivity analysis.
Applications of Evolutionary Computation Название: Applications of Evolutionary Computation Автор: Giovanni Squillero and Kevin Sim Издательство: Springer Год: 2017 Формат: PDF Размер: 70 Мб...
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Evolutionary Algorithms for Food Science and Technology 
