James A. Foster (ed.); Evelyne Lutton (ed.); Julian F. Miller (ed.); Conor Ryan (ed.); Andra G.B. Tezzamanzi (ed.) Springer (2002) Pehmeäkantinen kirja
Nicolas Monmarché; El-Ghazali Talbi; Pierre Collet; Marc Schoenauer; Evelyne Lutton Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2008) Pehmeäkantinen kirja
Franz Rothlauf; Jürgen Branke; Stefano Cagnoni; Ernesto Costa; Carlos Cotta; Rolf Drechsler; Evelyne Lutton; Pen Machado Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2006) Pehmeäkantinen kirja
El-ghazali Talbi; Pierre Liardet; Pierre Collet; Evelyne Lutton; Marc Schoenauer Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2006) Pehmeäkantinen kirja
Marc Schoenauer (ed.); Kalyanmoy Deb (ed.); Günther Rudolph (ed.); Xin Yao (ed.); Evelyne Lutton (ed.); Juan Julian Merelo Springer (2000) Pehmeäkantinen kirja
Pierre Collet; Nicolas Monmarché; Pierrick Legrand; Marc Schoenauer; Evelyne Lutton Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2010) Pehmeäkantinen kirja
Jin-Kao Hao; Pierrick Legrand; Pierre Collet; Nicolas Monmarché; Evelyne Lutton; Marc Schoenauer Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2012) Pehmeäkantinen kirja
Pierrick Legrand; Marc-Michel Corsini; Jin-Kao Hao; Nicolas Monmarché; Evelyne Lutton; Marc Schoenauer Springer International Publishing AG (2014) Pehmeäkantinen kirja
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.
