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.
- ISBN10 1848218133
- ISBN13 9781848218130
- Publish Date 13 December 2016 (first published 22 November 2016)
- Publish Status Active
- Publish Country GB
- Imprint ISTE Ltd and John Wiley & Sons Inc
- Format Hardcover
- Pages 182
- Language English