Evolutionary Algorithms for Food Science and Technology 1st Edition

  • By Evelyne Lutton, Nathalie Perrot, Alberto Tonda
  • Pages 182
  • Year 2016
  • Publisher Wiley
  • Language en
  • ISBN 9781848218130
  • File Size 4.89 MB
  • File Format PDF
  • Download Counter 347
  • Amazon Link

Ebook Description

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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