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portada Evolutionary Algorithms for Food Science and Technology
Type
Physical Book
Publisher
Language
English
Pages
182
Format
Hardcover
ISBN13
9781848218130

Evolutionary Algorithms for Food Science and Technology

Evelyne Lutton (Author) · Nathalie Perrot (Author) · Alberto Tonda (Author) · Wiley-Iste · Hardcover

Evolutionary Algorithms for Food Science and Technology - Lutton, Evelyne ; Perrot, Nathalie ; Tonda, Alberto

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Synopsis "Evolutionary Algorithms for Food Science and Technology"

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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