Nature-Inspired Computing and Optimization - Theory and Applications (Hardcover, 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:	March 2017
First published:	2017
Editors:	Srikanta Patnaik • Xin-She Yang • Kazumi Nakamatsu
Dimensions:	235 x 155 x 29mm (L x W x T)
Format:	Hardcover
Pages:	494
Edition:	1st ed. 2017
ISBN-13:	978-3-319-50919-8
Categories:	Books > Computing & IT > General theory of computing > Data structures Books > Computing & IT > Computer programming > Algorithms & procedures Books > Computing & IT > Applications of computing > Computer modelling & simulation Books > Science & Mathematics > Mathematics > Optimization > General Promotions
LSN:	3-319-50919-5
Barcode:	9783319509198

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!