Evolutionary Algorithms for Food Science and Technology

Nathalie Perrot, Alberto Tonda, Evelyne Lutton

ISBN 10: 1848218133 / ISBN 13: 9781848218130

Published by ISTE Ltd and John Wiley and Sons Inc, GB, 2016

About this Item

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.

Seller Inventory # LU-9781848218130

Bibliographic Details

• Title: Evolutionary Algorithms for Food Science and Technology
• Publisher: ISTE Ltd and John Wiley and Sons Inc, GB
• Publication Date: 2016
• Language: English
• ISBN 10: 1848218133
• ISBN 13: 9781848218130
• Binding: Hardback
• Condition: New
• Weight: 426 grams

About this title

Synopsis

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.

About the Author

Evelyne Lutton, INRA.

Nathalie Perrot, INRA.

Alberto Tonda, INRA.