Nature-Inspired Computing and Optimization: Theory and Applications

Author:   Srikanta Patnaik ,  Xin-She Yang ,  Kazumi Nakamatsu
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2017
Volume:   10
ISBN:  

9783319509198


Pages:   494
Publication Date:   16 March 2017
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Nature-Inspired Computing and Optimization: Theory and Applications


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Overview

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.

Full Product Details

Author:   Srikanta Patnaik ,  Xin-She Yang ,  Kazumi Nakamatsu
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2017
Volume:   10
Dimensions:   Width: 15.50cm , Height: 2.90cm , Length: 23.50cm
Weight:   8.926kg
ISBN:  

9783319509198


ISBN 10:   3319509195
Pages:   494
Publication Date:   16 March 2017
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

From the content:  The Nature of Nature: Why Nature Inspired Algorithms Work.-  Improved Bat Algorithm in Noise-Free and Noisy Environments.-  Multi-objective Ant Colony Optimisation in Wireless Sensor Networks.le

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