A New Bio-inspired Optimization Algorithm Based on the Self-defense Mechanism of Plants in Nature (SpringerBriefs in Applied Sciences and Technology) - Softcover

Caraveo, Camilo

 
9783030055509: A New Bio-inspired Optimization Algorithm Based on the Self-defense Mechanism of Plants in Nature (SpringerBriefs in Applied Sciences and Technology)
Softcover
ISBN 10: 3030055507 ISBN 13: 9783030055509
Verlag: Springer, 2019

Inhaltsangabe

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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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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Verlag
Springer
Erscheinungsdatum
2019
Sprache
Englisch
ISBN 10 
3030055507
ISBN 13 
9783030055509
Einband
Tapa blanda
Auflage
1
Anzahl der Seiten
68
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