Book Details
Format
Hardcover
Pages
352
Language
English
Published
Oct 12, 2009
Publisher
Wiley-ISTE
ISBN-10
1848210442
ISBN-13
9781848210448
Description
This book describes the optimization methods most commonly encountered in signal and image artificial evolution and Parisian approach; wavelets and fractals; information criteria; training and quadratic programming; Bayesian formalism; probabilistic modeling; Markovian approach; hidden Markov models; and metaheuristics (genetic algorithms, ant colony algorithms, cross-entropy, particle swarm optimization, estimation of distribution algorithms, and artificial immune systems).