Téléchargez le livre : Nature-Inspired Computing and Optimization

Nature-Inspired Computing and Optimization

Theory and Applications de

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Éditeur :

Springer


Collection :

Modeling and Optimization in Science and Technologies

Paru le : 2017-03-07

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Description

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.
Pages
494 pages
Collection
Modeling and Optimization in Science and Technologies
Parution
2017-03-07
Marque
Springer
EAN papier
9783319509198
EAN PDF
9783319509204
Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
49
Taille du fichier
15421 Ko
Prix
158,24 €
EAN EPUB
9783319509204
Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
49
Taille du fichier
8038 Ko
Prix
158,24 €

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