A New Bio-inspired Optimization Algorithm Based on the Self-defense Mechanism of Plants in Nature

Nonfiction, Science & Nature, Science, Biological Sciences, Botany, Computers, Advanced Computing, Artificial Intelligence, General Computing
Cover of the book A New Bio-inspired Optimization Algorithm Based on the Self-defense Mechanism of Plants in Nature by Camilo Caraveo, Fevrier Valdez, Oscar Castillo, Springer International Publishing
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Author: Camilo Caraveo, Fevrier Valdez, Oscar Castillo ISBN: 9783030055516
Publisher: Springer International Publishing Publication: December 30, 2018
Imprint: Springer Language: English
Author: Camilo Caraveo, Fevrier Valdez, Oscar Castillo
ISBN: 9783030055516
Publisher: Springer International Publishing
Publication: December 30, 2018
Imprint: Springer
Language: English

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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