BIBFRAME Work

Title

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

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  • Monograph
  • Text

Contribution

Subject

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Content

Summary

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.

Table of Contents

Introduction -- Theory and Background -- Self-defense of the Plants -- Predator-prey mode -- Proposed Method -- Case studies -- Conclusions.

Authorized Access Point

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

Admin Metadata

  • Date: 2026-09-11T20:14:57.321170+00:00
  • Agent: cbc
  • Status: c
  • Derived from: 21662219

Admin Metadata

  • Date: 2026-09-11
  • Cataloger id: Unknown
  • Description level: http://id.loc.gov/ontologies/bibframe-2-6-0/
  • Description language: eng
  • Description authentication: pcc

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