Evolutionary Algorithms for Food Science and Technology

Evolutionary Algorithms for Food Science and Technology
Author :
Publisher : John Wiley & Sons
Total Pages : 188
Release :
ISBN-10 : 9781119136842
ISBN-13 : 1119136849
Rating : 4/5 (42 Downloads)

Book Synopsis Evolutionary Algorithms for Food Science and Technology by : Evelyne Lutton

Download or read book Evolutionary Algorithms for Food Science and Technology written by Evelyne Lutton and published by John Wiley & Sons. This book was released on 2016-11-22 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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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