Evolutionary Algorithms for Food Science and Technology (Computer Engineering: Metaheuristics Set, 7)
ISBN-13:
9781848218130
ISBN-10:
1848218133
Edition:
1
Author:
Evelyne Lutton, Alberto Tonda, Nathalie Perrot
Publication date:
2016
Publisher:
Wiley-ISTE
Format:
Hardcover
182 pages
FREE US shipping
Book details
ISBN-13:
9781848218130
ISBN-10:
1848218133
Edition:
1
Author:
Evelyne Lutton, Alberto Tonda, Nathalie Perrot
Publication date:
2016
Publisher:
Wiley-ISTE
Format:
Hardcover
182 pages
Summary
Evolutionary Algorithms for Food Science and Technology (Computer Engineering: Metaheuristics Set, 7) (ISBN-13: 9781848218130 and ISBN-10: 1848218133), written by authors
Evelyne Lutton, Alberto Tonda, Nathalie Perrot, was published by Wiley-ISTE in 2016.
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Description
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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