Evolutionary algorithms for food science and technology Volume 7

Search by :

ALL Author Subject ISBN/ISSN Advanced Search

Last search:

Image of Evolutionary algorithms for food science and technology Volume 7

Computer File

Evolutionary algorithms for food science and technology Volume 7

Lutton, Evelyne. - Personal Name;

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.

Availability

Ilmu dan Teknologi Pangan (Database) [ITP-LIB-505]

[ITP-LIB-505]

Available

Detail Information

Series Title: -
Call Number: [ITP-LIB-505]
Publisher: nju : ., 2016
Collation: pages cm
Language: English
ISBN/ISSN: 9781848218130
Classification: -
Content Type: -
Media Type: -
Carrier Type: -
Edition: -
Subject(s): -
Specific Detail Info: -
Statement of Responsibility: -

Other version/related

No other version available

File Attachment

9781848218130

Comments

You must be logged in to post a comment