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Основной контент книги Evolutionary Algorithms for Food Science and Technology
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Volume 187 pages

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Evolutionary Algorithms for Food Science and Technology

Читайте только на Литрес

The book cannot be downloaded as a file, but can be read in our app or online on the website.

$183.47

About the book

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.

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Book Evelyne Lutton, Nathalie Perrot et al. «Evolutionary Algorithms for Food Science and Technology» — read online on the website. Leave comments and reviews, vote for your favorites.
Age restriction:
0+
Release date on Litres:
22 June 2018
Volume:
187 p.
ISBN:
9781119136842
Total size:
6.6 МБ
Total number of pages:
187
Publisher:
Copyright holder:
John Wiley & Sons Limited
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