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

by Camilo Caraveo, Fevrier Valdez, Oscar Castillo

Overview

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.

Product Details

ISBN-13:	9783030055509
Publisher:	Springer International Publishing
Publication date:	12/31/2018
Series:	SpringerBriefs in Applied Sciences and Technology
Edition description:	1st ed. 2019
Pages:	57
Product dimensions:	6.10(w) x 9.25(h) x (d)

Table of Contents

Introduction.- Theory and Background.- Self-defense of the Plants.- Predator-prey mode.- Proposed Method.- Case studies.- Conclusions.