Evolutionary Algorithms for Food Science and Technology

Beschreibung

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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Evelyne Lutton

Themen in »Evolutionary Algorithms for Food Science and Technology«

Algorithmen u. Datenstrukturen Algorithms & Data Structures Computer Science Evolutionärer Algorithmus Food Engineering Food Science & Technology Food Science & Technology Special Topics Informatik Lebensmittelforschung Lebensmittelforschung u. -technologie Lebensmitteltechnik Spezialthemen Lebensmittelforschung u. -technologie

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