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Self-Organizing Migrating Algorithm

Methodology and Implementation

  • Donald Davendra
  • Ivan Zelinka

Part of the Studies in Computational Intelligence book series (SCI, volume 626)

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Methodology

    1. Front Matter
      Pages 1-1
    2. Donald Davendra, Ivan Zelinka, Michal Pluhacek, Roman Senkerik
      Pages 51-63
  3. Implementation

    1. Front Matter
      Pages 65-65
    2. Ivan Zelinka
      Pages 67-82
    3. Petr Kadlec, Zbyněk Raida
      Pages 83-103
    4. Petr Kadlec, Zbyněk Raida
      Pages 105-119
    5. Marek Běhálek, Petr Gajdoš, Donald Davendra
      Pages 121-145
    6. Zuzana Čičková, Ivan Brezina, Juraj Pekár
      Pages 207-236
    7. Juraj Pekár, Zuzana Čičková, Ivan Brezina
      Pages 237-253
    8. Zuzana Čičková, Martin Lukáčik
      Pages 255-275
    9. Michal Pluhacek, Ivan Zelinka, Roman Senkerik, Donald Davendra
      Pages 277-289

About this book

Introduction

This book brings together the current state of-the-art research in Self Organizing Migrating Algorithm (SOMA) as a novel population-based evolutionary algorithm, modeled on the predator-prey relationship, by its leading practitioners. 

As the first ever book on SOMA, this book is geared towards graduate students, academics and researchers, who are looking for a good optimization algorithm for their applications. This book presents the methodology of SOMA, covering both the real and discrete domains, and its various implementations in different research areas. The easy-to-follow and implement methodology used in the book will make it easier for a reader to implement, modify and utilize SOMA.  

Keywords

Computational Intelligence Evolutionary Algorithms Evolutionary Computation Metaheuristics Optimization Swarm Intelligence

Editors and affiliations

  • Donald Davendra
    • 1
  • Ivan Zelinka
    • 2
  1. 1.Faculty of Ele. Eng. & Computer SciDep. of Comp. Sci. Central Washington UnEllensburgCzech Republic
  2. 2.Faculty of Ele.Eng. & Comp. Sci.VŠB-Technical University of OstravOstrava-PorubaCzech Republic

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-28161-2
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-28159-9
  • Online ISBN 978-3-319-28161-2
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site