Evolutionary Algorithms for Food Science and Technology
Evelyne Lutton, Nathalie Perrot, Alberto Tonda
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.
Catégories:
Année:
2016
Editeur::
John Wiley & Sons
Langue:
english
Pages:
200
ISBN 10:
1848218133
ISBN 13:
9781848218130
Collection:
Metaheuristics Set
Fichier:
PDF, 5.20 MB
IPFS:
,
english, 2016