A New Bio-inspired Optimization Algorithm Based on the Self-defense Mechanism of Plants in Nature / / by Camilo Caraveo, Fevrier Valdez, Oscar Castillo

• Autore: Caraveo Camilo
• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
• Edizione: 1st ed. 2019.
• Descrizione fisica: 1 online resource (VIII, 57 p.)
• Disciplina: 006.3
• Soggetto topico: Computational intelligence; Artificial intelligence; Plant science; Botany; Mathematical optimization; Computational Intelligence; Artificial Intelligence; Plant Sciences; Optimization
• Persona (resp. second.): ValdezFevrier; CastilloOscar
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Introduction -- Theory and Background -- Self-defense of the Plants -- Predator-prey mode -- Proposed Method -- Case studies -- Conclusions.
• Sommario/riassunto: 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.
• Titolo autorizzato: A New Bio-inspired Optimization Algorithm Based on the Self-defense Mechanism of Plants in Nature
• ISBN: 3-030-05551-5
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910483711803321
• Lo trovi qui: Univ. Federico II
• Serie: SpringerBriefs in Computational Intelligence, . 2625-3704