1. Adventsüberraschung: 10% Rabatt auf alle Filme! Jetzt mehr erfahren.
Willkommen, schön sind Sie da!
Logo Ex Libris

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

  • Kartonierter Einband
  • 68 Seiten
(0) Erste Bewertung abgeben
Bewertungen
(0)
(0)
(0)
(0)
(0)
Alle Bewertungen ansehen
This book presents a new meta-heuristic algorithm, inspired by the self-defense mechanisms of plants in nature. Numerous published... Weiterlesen
CHF 78.00
Print on Demand - Auslieferung erfolgt in der Regel innert 4 bis 6 Wochen.
Bestellung & Lieferung in eine Filiale möglich

Beschreibung

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 predatorprey 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.



Presents a new meta-heuristic optimization algorithm, inspired by plant self-defense mechanisms in nature

Based on the predatorprey mathematical model by Lotka and Volterra

Written by experts in the field



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

Produktinformationen

Titel: A New Bio-inspired Optimization Algorithm Based on the Self-defense Mechanism of Plants in Nature
Autor:
EAN: 9783030055509
ISBN: 3030055507
Format: Kartonierter Einband
Herausgeber: Springer International Publishing
Genre: Allgemeines & Lexika
Anzahl Seiten: 68
Gewicht: 119g
Größe: H235mm x B155mm x T4mm
Jahr: 2019
Untertitel: Englisch
Auflage: 1st ed. 2019

Weitere Produkte aus der Reihe "SpringerBriefs in Computational Intelligence"