A New Bio-inspired Optimization Algorithm Based on the Self-defense Mechanism...

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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.

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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
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