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Erschienen in:
Optimal Control of a Ball and Beam Nonlinear Model Based on Takagi-Sugeno Fuzzy Model Kapitel lesen Erstes Kapitel lesen

2018 | Supplement | Buchkapitel

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

verfasst von : Camilo Caraveo, Fevrier Valdez, Oscar Castillo

Erschienen in: Advances in Fuzzy Logic and Technology 2017

Verlag: 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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Vorheriges Kapitel Incorporation of Excluding Features in Fuzzy Relational Compositions Based on Generalized Quantifiers
Nächstes Kapitel 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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Metadaten
Titel
A New Optimization Metaheuristic Based on the Self-defense Techniques of Natural Plants Applied to the CEC 2015 Benchmark Functions
verfasst von
Camilo Caraveo
Fevrier Valdez
Oscar Castillo
Copyright-Jahr
2018
Buch
Advances in Fuzzy Logic and Technology 2017

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

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

Copyright-Jahr: 2018

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

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