Advances of Evolutionary Computation: Methods and Operators (Hardcover, 1st ed. 2016)

The goal of this book is to present advances that discuss alternative Evolutionary Computation (EC) developments and non-conventional operators which have proved to be effective in the solution of several complex problems. The book has been structured so that each chapter can be read independently from the others. The book contains nine chapters with the following themes: 1) Introduction, 2) the Social Spider Optimization (SSO), 3) the States of Matter Search (SMS), 4) the collective animal behavior (CAB) algorithm, 5) the Allostatic Optimization (AO) method, 6) the Locust Search (LS) algorithm, 7) the Adaptive Population with Reduced Evaluations (APRE) method, 8) the multimodal CAB, 9) the constrained SSO method.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Studies in Computational Intelligence, 629
Release date:	February 2016
First published:	2016
Authors:	Erik Cuevas • Margarita-Arimatea Diaz-Cortes • Diego Alberto Oliva Navarro
Dimensions:	235 x 155 x 14mm (L x W x T)
Format:	Hardcover
Pages:	202
Edition:	1st ed. 2016
ISBN-13:	978-3-319-28502-3
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-319-28502-5
Barcode:	9783319285023

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!