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Evolutionary Algorithms for Food Science and Technology

By (author) Evelyne Lutton, By (author) Nathalie Perrot, By (author) Alberto Tonda

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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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The Coming Wave: AI, Power and Our Future

Mustafa Suleyman
Paperback / softback
352 pages
was: R 295.95
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Helgoland: The Strange and Beautiful Story of Quantum Physics

Carlo Rovelli
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208 pages
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The Order of Time

Carlo Rovelli
Paperback / softback
224 pages
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Originally published in Italian: L'ordine del tempo (Milan: Adelphi Edizioni, 2017).

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