Evolutionary Algorithms for Food Science and Technology is popular PDF and ePub book, written by Evelyne Lutton in 2016-12-27, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Evolutionary Algorithms for Food Science and Technology can be Read Online from any device for your convenience.
Evolutionary Algorithms for Food Science and Technology Book PDF Summary
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.
Detail Book of Evolutionary Algorithms for Food Science and Technology PDF
- Author : Evelyne Lutton
- Release : 27 December 2016
- Publisher : John Wiley & Sons
- ISBN : 9781848218130
- Genre : Computers
- Total Page : 182 pages
- Language : English
- PDF File Size : 19,9 Mb
If you're still pondering over how to secure a PDF or EPUB version of the book Evolutionary Algorithms for Food Science and Technology by Evelyne Lutton, don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.