Login

Lutton, Evelyne

Evolutionary Algorithms for Food Science and Technology

Lutton, Evelyne - Evolutionary Algorithms for Food Science and Technology, ebook

126,95€

Ebook, ePUB with Adobe DRM
ISBN: 9781119136835
DRM Restrictions

Printing55 pages with an additional page accrued every 14 hours, capped at 55 pages
Copy to clipboard5 excerpts

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.

Keywords: food science;food technology;heterogenic data;evolutionary algorithms;stochastic optimization;natural selection;food engineering, Algorithms & Data Structures, Food Engineering, Algorithms & Data Structures, Food Engineering

Author(s)
 
 
Publisher
John Wiley and Sons, Inc.
Publication year
2016
Language
en
Edition
1
Page amount
182 pages
Category
Information Technology, Telecommunications
Format
Ebook
eISBN (ePUB)
9781119136835
Printed ISBN
9781848218130

Similar titles