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A New Bio-Inspired Optimization Algorithm Based On The Self-Defense Mechanism Of Plants In Nature (Springerbriefs In Applied Sciences And Technology)

A New Bio-Inspired Optimization Algorithm Based On The Self-Defense Mechanism Of Plants In Nature (Springerbriefs In Applied Sciences And Technology)

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Product Details
Author:
Camilo Caraveo, Fevrier Valdez, Oscar Castillo
Publisher:
Springer
Publication Date:
Jan 14, 2019
Number of pages:
65 pages
Language:
English
Binding:
Paperback
ISBN-10:
3030055507
ISBN-13:
9783030055509

Overview

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.


  • | Author: Camilo Caraveo, Fevrier Valdez, Oscar Castillo
  • | Publisher: Springer
  • | Publication Date: Jan 14, 2019
  • | Number of Pages: 65 pages
  • | Language: English
  • | Binding: Paperback
  • | ISBN-10: 3030055507
  • | ISBN-13: 9783030055509

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Paperback/Computers

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