A New Bio-inspired Optimization Algorithm Based on the Self-defense Mechanism of Plants in Nature
(Sprache: Englisch)
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...
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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.Inhaltsverzeichnis zu „A New Bio-inspired Optimization Algorithm Based on the Self-defense Mechanism of Plants in Nature “
Introduction.- Theory and Background.- Self-defense of the Plants.- Predator-prey mode.- Proposed Method.- Case studies.- Conclusions.
Bibliographische Angaben
- Autoren: Camilo Caraveo , Fevrier Valdez , Oscar Castillo
- 2019, 1st ed. 2019, VIII, 57 Seiten, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 3030055507
- ISBN-13: 9783030055509
- Erscheinungsdatum: 14.01.2019
Sprache:
Englisch
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