Nature-Inspired Optimizers: Theories, Literature Reviews and Applications
Author:   Seyedali Mirjalili ,  Jin Song Dong ,  Andrew Lewis
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2020
Volume:   811
ISBN:  

9783030121297


Pages:   238
Publication Date:   28 October 2020
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Nature-Inspired Optimizers: Theories, Literature Reviews and Applications


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Overview

This book covers the conventional and most recent theories and applications in the area of evolutionary algorithms, swarm intelligence, and meta-heuristics. Each chapter offers a comprehensive description of a specific algorithm, from the mathematical model to its practical application. Different kind of optimization problems are solved in this book, including those related to path planning, image processing, hand gesture detection, among others.  All in all, the book offers a tutorial on how to design, adapt, and evaluate evolutionary algorithms. Source codes for most of the proposed techniques have been included as supplementary materials on a dedicated webpage.

Full Product Details

Author:   Seyedali Mirjalili ,  Jin Song Dong ,  Andrew Lewis
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2020
Volume:   811
Weight:   0.454kg
ISBN:  

9783030121297


ISBN 10:   3030121291
Pages:   238
Publication Date:   28 October 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
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

Preface.- Chapter 1. Introduction to Nature-inspired Algorithms.- Chapter 2. Ant Colony Optimizer: Theory, Literature Review, and Application in AUV Path Planning.-Chapter 3. Ant Lion Optimizer: Theory, Literature Review, and Application in Multi-layer Perceptron Neural Network.- Chapter 4. Dragonfly Algorithm: Theory, Literature Review, and Application in Feature Selection.- Chapter 5. Genetic Algorithm: Theory, Literature Review, and Application in Image Reconstruction etc

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