Название: Evolutionary Algorithms for Food Science and TechnologyАвтор: 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.