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A New Bio-inspired Optimization Algorithm Based on the Self-defense Mechanism of Plants in Nature

  • Camilo Caraveo
  • Fevrier Valdez
  • Oscar Castillo

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

Also part of the SpringerBriefs in Computational Intelligence book sub series (BRIEFSINTELL)

Table of contents

  1. Front Matter
    Pages i-viii
  2. Camilo Caraveo, Fevrier Valdez, Oscar Castillo
    Pages 1-4
  3. Camilo Caraveo, Fevrier Valdez, Oscar Castillo
    Pages 5-7
  4. Camilo Caraveo, Fevrier Valdez, Oscar Castillo
    Pages 9-12
  5. Camilo Caraveo, Fevrier Valdez, Oscar Castillo
    Pages 13-15
  6. Camilo Caraveo, Fevrier Valdez, Oscar Castillo
    Pages 17-22
  7. Camilo Caraveo, Fevrier Valdez, Oscar Castillo
    Pages 23-52
  8. Camilo Caraveo, Fevrier Valdez, Oscar Castillo
    Pages 53-54
  9. Back Matter
    Pages 55-57

About this book

Introduction

This book presents a new meta-heuristic algorithm, inspired by the self-defense mechanisms of plants in nature. Numerous published works have demonstrated the various self-defense mechanisms (survival strategies) plants use to protect themselves against predatory organisms, such as herbivorous insects. The proposed algorithm is based on the predator–prey mathematical model originally proposed by Lotka and Volterra, consisting of two nonlinear first-order differential equations, which allow the growth of two interacting populations (prey and predator) to be modeled. The proposed meta-heuristic is able to produce excellent results in several sets of benchmark optimization problems. Further, fuzzy logic is used for dynamic parameter adaptation in the algorithm.

Keywords

Computational Intelligence Lotka-Volterra Fuzzy Logic Self-Defense of Plants Predator-Prey Model

Authors and affiliations

  • Camilo Caraveo
    • 1
  • Fevrier Valdez
    • 2
  • Oscar Castillo
    • 3
  1. 1.Division of Graduate StudiesTijuana Institute of TechnologyTijuanaMexico
  2. 2.Division of Graduate StudiesTijuana Institute of TechnologyTijuanaMexico
  3. 3.Division of Graduate StudiesTijuana Institute of TechnologyTijuanaMexico

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-05551-6
  • Copyright Information The Author(s), under exclusive license to Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Intelligent Technologies and Robotics
  • Print ISBN 978-3-030-05550-9
  • Online ISBN 978-3-030-05551-6
  • Series Print ISSN 2191-530X
  • Series Online ISSN 2191-5318
  • Buy this book on publisher's site
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