Evolutionary Algorithms for Food Science and Technology
Book Details
Format
Hardback or Cased Book
ISBN-10
1848218133
ISBN-13
9781848218130
Publisher
ISTE Ltd and John Wiley & Sons Inc
Imprint
ISTE Ltd and John Wiley & Sons Inc
Country of Manufacture
US
Country of Publication
GB
Publication Date
Dec 13th, 2016
Print length
192 Pages
Weight
426 grams
Dimensions
24.10 x 16.30 x 1.80 cms
Product Classification:
Food & beverage technologyFood and beverage technology
Ksh 25,000.00
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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.
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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