Adaptation and Hybridization in Computational Intelligence (Hardcover, 2015 ed.)

This carefully edited book takes a walk through recent advances in adaptation and hybridization in the Computational Intelligence (CI) domain. It consists of ten chapters that are divided into three parts. The first part illustrates background information and provides some theoretical foundation tackling the CI domain, the second part deals with the adaptation in CI algorithms, while the third part focuses on the hybridization in CI. This book can serve as an ideal reference for researchers and students of computer science, electrical and civil engineering, economy, and natural sciences that are confronted with solving the optimization, modeling and simulation problems. It covers the recent advances in CI that encompass Nature-inspired algorithms, like Artificial Neural networks, Evolutionary Algorithms and Swarm Intelligence -based algorithms.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Adaptation, Learning, and Optimization, 18
Release date:	2015
First published:	2015
Editors:	Iztok Fister
Dimensions:	235 x 155 x 16mm (L x W x T)
Format:	Hardcover - Cloth over boards
Pages:	237
Edition:	2015 ed.
ISBN-13:	978-3-319-14399-6
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	3-319-14399-9
Barcode:	9783319143996

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