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A new bio-inspired optimization algo...
~
Caraveo, Camilo.
A new bio-inspired optimization algorithm based on the self-defense mechanism of plants in nature
Record Type:
Electronic resources : Monograph/item
Title/Author:
A new bio-inspired optimization algorithm based on the self-defense mechanism of plants in natureby Camilo Caraveo, Fevrier Valdez, Oscar Castillo.
Author:
Caraveo, Camilo.
other author:
Valdez, Fevrier.
Published:
Cham :Springer International Publishing :2019.
Description:
viii, 57 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Mathematical optimization.
Online resource:
https://doi.org/10.1007/978-3-030-05551-6
ISBN:
9783030055516$q(electronic bk.)
A new bio-inspired optimization algorithm based on the self-defense mechanism of plants in nature
Caraveo, Camilo.
A new bio-inspired optimization algorithm based on the self-defense mechanism of plants in nature
[electronic resource] /by Camilo Caraveo, Fevrier Valdez, Oscar Castillo. - Cham :Springer International Publishing :2019. - viii, 57 p. :ill., digital ;24 cm. - SpringerBriefs in computational intelligence,2625-3704. - SpringerBriefs in computational intelligence..
Introduction -- Theory and Background -- Self-defense of the Plants -- Predator-prey mode -- Proposed Method -- Case studies -- Conclusions.
This book presents a new meta-heuristic algorithm, inspired by the self-defense mechanisms of plants in nature. Numerous published works have demonstrated the various self-defense mechanisms (survival strategies) plants use to protect themselves against predatory organisms, such as herbivorous insects. The proposed algorithm is based on the predator-prey mathematical model originally proposed by Lotka and Volterra, consisting of two nonlinear first-order differential equations, which allow the growth of two interacting populations (prey and predator) to be modeled. The proposed meta-heuristic is able to produce excellent results in several sets of benchmark optimization problems. Further, fuzzy logic is used for dynamic parameter adaptation in the algorithm.
ISBN: 9783030055516$q(electronic bk.)
Standard No.: 10.1007/978-3-030-05551-6doiSubjects--Topical Terms:
183292
Mathematical optimization.
LC Class. No.: QA402.5 / .C373 2019
Dewey Class. No.: 519.6
A new bio-inspired optimization algorithm based on the self-defense mechanism of plants in nature
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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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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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Intelligent Technologies and Robotics (Springer-42732)
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EB QA402.5 C262 2019 2019
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