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

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 insec...

Full description

Bibliographic Details
Main Authors: Caraveo, Camilo (Author), Valdez, Fevrier (Author), Castillo, Oscar (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : 2019.
Imprint: Springer,
Edition:1st ed. 2019.
Series:SpringerBriefs in Computational Intelligence,
Subjects:
Computational intelligence.
Artificial intelligence.
Botany.
Mathematical optimization.
Computational Intelligence.
Artificial Intelligence.
Plant Science.
Optimization.
Online Access:Full-text access
Description
Summary: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.
Physical Description:VIII, 57 p. online resource.
ISBN:9783030055516
ISSN:2625-3712
DOI:10.1007/978-3-030-05551-6

Similar Items