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A new bio-inspired optimization algo...

Caraveo, Camilo.

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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 nature/ by 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.
[NT 15003449]:	Introduction -- Theory and Background -- Self-defense of the Plants -- Predator-prey mode -- Proposed Method -- Case studies -- Conclusions.
Contained By:	Springer eBooks
Subject:	Mathematical optimization. -
Online resource:	https://doi.org/10.1007/978-3-030-05551-6
ISBN:	9783030055516

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

Standard No.: 10.1007/978-3-030-05551-6doiSubjects--Topical Terms:

517763
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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245 1 2 $a A new bio-inspired optimization algorithm based on the self-defense mechanism of plants in nature $h [electronic resource] / $c by Camilo Caraveo, Fevrier Valdez, Oscar Castillo.
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300 $a viii, 57 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in computational intelligence, $x 2625-3704
505 0 $a Introduction -- Theory and Background -- Self-defense of the Plants -- Predator-prey mode -- Proposed Method -- Case studies -- Conclusions.
520 $a 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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650 2 4 $a Optimization. $3 891104
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700 1 $a Castillo, Oscar. $3 855557
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950 $a Intelligent Technologies and Robotics (Springer-42732)