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

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Springer


Collection :

SpringerBriefs in Applied Sciences and Technology

Paru le : 2018-12-30

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Description

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.
Pages
57 pages
Collection
SpringerBriefs in Applied Sciences and Technology
Parution
2018-12-30
Marque
Springer
EAN papier
9783030055509
EAN PDF
9783030055516
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
5
Taille du fichier
1976 Ko
Prix
52,74 €
EAN EPUB
9783030055516
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
5
Taille du fichier
3912 Ko
Prix
52,74 €

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