Evolutionary Algorithms for Food Science and Technology

Nonfiction, Computers, Advanced Computing, Engineering, Computer Engineering
Cover of the book Evolutionary Algorithms for Food Science and Technology by Evelyne Lutton, Nathalie Perrot, Alberto Tonda, Wiley
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Author: Evelyne Lutton, Nathalie Perrot, Alberto Tonda ISBN: 9781119136835
Publisher: Wiley Publication: November 22, 2016
Imprint: Wiley-ISTE Language: English
Author: Evelyne Lutton, Nathalie Perrot, Alberto Tonda
ISBN: 9781119136835
Publisher: Wiley
Publication: November 22, 2016
Imprint: Wiley-ISTE
Language: 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.

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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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