| Document Type
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BL
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| Record Number
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860626
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| Main Entry
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Caraveo, Camilo
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| Title & Author
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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.
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| Publication Statement
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Cham, Switzerland :: Springer,, [2019]
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| Series Statement
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SpringerBriefs in applied sciences and technology. Computational intelligence
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| Page. NO
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1 online resource
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| ISBN
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3030055515
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: 3030055523
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: 9783030055516
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: 9783030055523
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3030055507
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9783030055509
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| Notes
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Introduction.- Theory and Background.- Self-defense of the Plants.- Predator-prey mode.- Proposed Method.- Case studies.- Conclusions.
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| Bibliographies/Indexes
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Includes bibliographical references and index.
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| Contents
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Introduction -- Theory and Background -- Self-defense of the Plants -- Predator-prey mode -- Proposed Method -- Case studies -- Conclusions.
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| Abstract
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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.
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| Subject
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Algorithms.
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| Subject
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Mathematical optimization.
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| Subject
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Plant defenses-- Mathematical models.
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| Subject
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Algorithms.
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| Subject
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Mathematical optimization.
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| Dewey Classification
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519.6
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| LC Classification
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QA402.5.C37 2019
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| Added Entry
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Castillo, Oscar
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Valdez, Fevrier
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