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Optimal Control of a Ball and Beam Nonlinear Model Based on Takagi-Sugeno Fuzzy Model Read chapter Read first chapter

2018 | Supplement | Chapter

A New Optimization Metaheuristic Based on the Self-defense Techniques of Natural Plants Applied to the CEC 2015 Benchmark Functions

Authors : Camilo Caraveo, Fevrier Valdez, Oscar Castillo

Published in: Advances in Fuzzy Logic and Technology 2017

Publisher: Springer International Publishing

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Abstract

A new optimization metaheuristic algorithm based on the mechanisms of self-defense of plants in nature in this work is presented. The proposed optimization algorithm is applied to optimize mathematical functions of CEC 2015, this suite of functions are proposed as a challenge for the area of algorithm bio-inspired, with the purpose of creating a competition of performance and stability between algorithms of search and optimization. We propose a new meta-heuristic inspired in the coping techniques of plants in nature, as there techniques are developed by plants as a defense from predators. The proposed algorithm is based on the Lotka and Volterra model better known as the prey predator model, this model consists of two non-linear equations and is used to model the growth of two populations that competing with each other.

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previous chapter Incorporation of Excluding Features in Fuzzy Relational Compositions Based on Generalized Quantifiers
next chapter A Multi-objective Evolutionary Algorithm for Tuning Type-2 Fuzzy Sets with Rule and Condition Selection on Fuzzy Rule-Based Classification System
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Metadata
Title
A New Optimization Metaheuristic Based on the Self-defense Techniques of Natural Plants Applied to the CEC 2015 Benchmark Functions
Authors
Camilo Caraveo
Fevrier Valdez
Oscar Castillo
Copyright Year
2018
Book
Advances in Fuzzy Logic and Technology 2017

Print ISBN: 978-3-319-66829-1

Electronic ISBN: 978-3-319-66830-7

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-66830-7_34

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