A New Bio-inspired Optimization Algorithm Based on the Self-defense Mechanism of Plants in Nature / by Camilo Caraveo, Fevrier Valdez, Oscar Castillo.
By: Caraveo, Camilo, autor
Contributor(s): SpringerLink (Online service)
| Castillo, Oscar, autor
Series: (SpringerBriefs in Computational Intelligence, 2625-3704); (Intelligent Technologies and Robotics (Springer-42732)).Publisher: Cham : Springer International Publishing : Imprint: Springer, 2019Description: 1 recurso en línea (VIII, 57 páginas).ISBN: 9783030055516.Subject: Optimización matemática
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|
LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | QA402.5 2019 EB (Browse shelf(Opens below)) | Acceso electrónico | eBooks26062367 |
Introduction -- Theory and Background -- Self-defense of the Plants -- Predator-prey mode -- Proposed Method -- Case studies -- Conclusions.
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.
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