Fractional Order Darwinian Particle Swarm Optimization

Applications and Evaluation of an Evolutionary Algorithm

  • Micael Couceiro
  • Pedram Ghamisi

Part of the SpringerBriefs in Applied Sciences and Technology book series (BRIEFSAPPLSCIENCES)

Table of contents

  1. Front Matter
    Pages i-x
  2. Micael Couceiro, Pedram Ghamisi
    Pages 1-10
  3. Micael Couceiro, Pedram Ghamisi
    Pages 11-20
  4. Micael Couceiro, Pedram Ghamisi
    Pages 21-29
  5. Micael Couceiro, Pedram Ghamisi
    Pages 31-39
  6. Micael Couceiro, Pedram Ghamisi
    Pages 41-71
  7. Micael Couceiro, Pedram Ghamisi
    Pages 73-75

About this book

Introduction

This book examines the bottom-up applicability of swarm intelligence to solving multiple problems, such as curve fitting, image segmentation, and swarm robotics. It compares the capabilities of some of the better-known bio-inspired optimization approaches, especially Particle Swarm Optimization (PSO), Darwinian Particle Swarm Optimization (DPSO) and the recently proposed Fractional Order Darwinian Particle Swarm Optimization (FODPSO), and comprehensively discusses their advantages and disadvantages. Further, it demonstrates the superiority and key advantages of using the FODPSO algorithm, such as its ability to provide an improved convergence towards a solution, while avoiding sub-optimality. This book offers a valuable resource for researchers in the fields of robotics, sports science, pattern recognition and machine learning, as well as for students of electrical engineering and computer science.

Keywords

Advantages of FODPSO Bio-inspired optimization approaches Bottom-up applicability of swarm intelligence Curve fitting PSO DPSO Discrete Particle Swarm Optimization FODPSO FODPSO real-world problems Fractional Order Darwinian Particle Swarm Optimization Image segmentation PSO PSO Particle Swarm Optimization Superiority of FODPSO Swarm robotics PSO

Authors and affiliations

  • Micael Couceiro
    • 1
  • Pedram Ghamisi
    • 2
  1. 1.Ingeniarius, Ltd., Mealhada, PortugalInstitute of Systems and Robotics (ISR), University of Coimbra,CoimbraPortugal
  2. 2.Faculty of Electrical and Computer Eng.University of IcelandReykjavikIceland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-19635-0
  • Copyright Information The Author(s) 2016
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-19634-3
  • Online ISBN 978-3-319-19635-0
  • Series Print ISSN 2191-530X
  • Series Online ISSN 2191-5318
  • About this book