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A New Bio-Inspired Optimization Algorithm Based on the Self-Defense Mechanism of Plants in Nature
Camilo Caraveo, Fevrier Valdez, Oscar Castillo
Livre broché | Anglais | SpringerBriefs in Applied Sciences and Technology | SpringerBriefs in Computational Intelligence
52,95 €
+ 105 points
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.
Spécifications
Parties prenantes
- Auteur(s) :
- Editeur:
Contenu
- Nombre de pages :
- 57
- Langue:
- Anglais
- Collection :
Caractéristiques
- EAN:
- 9783030055509
- Date de parution :
- 14-01-19
- Format:
- Livre broché
- Format numérique:
- Trade paperback (VS)
- Dimensions :
- 156 mm x 234 mm
- Poids :
- 108 g
