Nature-Inspired Computing and Optimization - Theory and Applications (Paperback, Softcover reprint of the original 1st ed. 2017)

The book provides readers with a snapshot of the state of the art in the field of nature-inspired computing and its application in optimization. The approach is mainly practice-oriented: each bio-inspired technique or algorithm is introduced together with one of its possible applications. Applications cover a wide range of real-world optimization problems: from feature selection and image enhancement to scheduling and dynamic resource management, from wireless sensor networks and wiring network diagnosis to sports training planning and gene expression, from topology control and morphological filters to nutritional meal design and antenna array design. There are a few theoretical chapters comparing different existing techniques, exploring the advantages of nature-inspired computing over other methods, and investigating the mixing time of genetic algorithms. The book also introduces a wide range of algorithms, including the ant colony optimization, the bat algorithm, genetic algorithms, the collision-based optimization algorithm, the flower pollination algorithm, multi-agent systems and particle swarm optimization. This timely book is intended as a practice-oriented reference guide for students, researchers and professionals.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Modeling and Optimization in Science and Technologies, 10
Release date:	May 2018
First published:	2017
Editors:	Srikanta Patnaik • Xin-She Yang • Kazumi Nakamatsu
Dimensions:	235 x 155 x 26mm (L x W x T)
Format:	Paperback
Pages:	494
Edition:	Softcover reprint of the original 1st ed. 2017
ISBN-13:	978-3-319-84522-7
Categories:	Books > Professional & Technical > Technology: general issues > Engineering: general Books > Computing & IT > Applications of computing > Computer modelling & simulation Books > Science & Mathematics > Mathematics > Optimization > General Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-319-84522-5
Barcode:	9783319845227

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