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Nature-Inspired Optimizers

Theories, Literature Reviews and Applications

  • Seyedali Mirjalili
  • Jin Song Dong
  • Andrew Lewis

Part of the Studies in Computational Intelligence book series (SCI, volume 811)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Seyedali Mirjalili, Jin Song Dong
    Pages 1-5
  3. Seyedali Mirjalili, Jin Song Dong, Andrew Lewis
    Pages 7-21
  4. Ali Asghar Heidari, Hossam Faris, Seyedali Mirjalili, Ibrahim Aljarah, Majdi Mafarja
    Pages 23-46
  5. Majdi Mafarja, Ali Asghar Heidari, Hossam Faris, Seyedali Mirjalili, Ibrahim Aljarah
    Pages 47-67
  6. Seyedali Mirjalili, Jin Song Dong, Ali Safa Sadiq, Hossam Faris
    Pages 69-85
  7. Seyedali Mirjalili, Ibrahim Aljarah, Majdi Mafarja, Ali Asghar Heidari, Hossam Faris
    Pages 87-105
  8. Shahrzad Saremi, Seyedehzahra Mirjalili, Seyedali Mirjalili, Jin Song Dong
    Pages 107-122
  9. Ibrahim Aljarah, Majdi Mafarja, Ali Asghar Heidari, Hossam Faris, Seyedali Mirjalili
    Pages 123-141
  10. Seyedali Mirjalili, Jin Song Dong, Andrew Lewis, Ali Safa Sadiq
    Pages 167-184
  11. Hossam Faris, Seyedali Mirjalili, Ibrahim Aljarah, Majdi Mafarja, Ali Asghar Heidari
    Pages 185-199
  12. Seyed Mohammad Mirjalili, Seyedeh Zahra Mirjalili, Shahrzad Saremi, Seyedali Mirjalili
    Pages 201-217
  13. Seyedehzahra Mirjalili, Seyed Mohammad Mirjalili, Shahrzad Saremi, Seyedali Mirjalili
    Pages 219-238

About this book

Introduction

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.

Keywords

Ant Colony Optimizer AUV Path Planning Continuous Ant Colony Ant Lion Optimizer Dragonfly Algorithm Feature Selection Continuous Genetic Algorithm Image Reconstruction Controlling Parameter of Genetic Algorithm Controlling Parameter of Grey Wolf Optimizer Whale Optimization Algorithm Sine Cosine Algorithm Swarm Algorithm in Extreme Learning Machine Local Optima Stagnation Optimized Controllers

Editors and affiliations

  • Seyedali Mirjalili
    • 1
  • Jin Song Dong
    • 2
  • Andrew Lewis
    • 3
  1. 1.Institute for Integrated and Intelligent SystemsGriffith UniversityBrisbaneAustralia
  2. 2.Institute for Integrated and Intelligent SystemsGriffith UniversityBrisbaneAustralia
  3. 3.Institute for Integrated and Intelligent SystemsGriffith UniversityBrisbaneAustralia

Bibliographic information

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