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Nature-Inspired Optimizers Seyedali Mirjalili

Nature-Inspired Optimizers By Seyedali Mirjalili

Nature-Inspired Optimizers by Seyedali Mirjalili


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Summary

This book covers the conventional and most recent theories and applications in the area of evolutionary algorithms, swarm intelligence, and meta-heuristics. All in all, the book offers a tutorial on how to design, adapt, and evaluate evolutionary algorithms.

Nature-Inspired Optimizers Summary

Nature-Inspired Optimizers: Theories, Literature Reviews and Applications by Seyedali Mirjalili

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.

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. Dragony Algorithm: Theory, Literature Review, and Application in Feature Selection.- Chapter 5. Genetic Algorithm: Theory, Literature Review, and Application in Image Reconstruction etc

Additional information

NPB9783030121266
9783030121266
3030121267
Nature-Inspired Optimizers: Theories, Literature Reviews and Applications by Seyedali Mirjalili
New
Hardback
Springer Nature Switzerland AG
2019-02-25
238
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
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