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Um paradigma baseado em algoritmos genéticos para o aprendizado de regras Fuzzy
(Universidade Federal de São CarlosBRUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCC, 2004-05-24)
The construction of the knowledge base of fuzzy systems has been beneficited intensively from automatic methods that extract the necessary knowledge from data sets which represent examples of the problem. The evolutionary ...
Localising and quantifying damage by means of a multi-chromosome genetic algorithm
(ELSEVIER SCI LTDOXFORD, 2012)
This paper presents a structural damage detection methodology based on genetic algorithms and dynamic parameters. Three chromosomes are used to codify an individual in the population. The first and second chromosomes locate ...
Geração genética de classificador fuzzy intervalar do tipo-2
(Universidade Federal de São CarlosBRUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCC, 2009-10-30)
The objective of this work is to study, expand and evaluate the use of interval type-2 fuzzy sets in the knowledge representation for fuzzy inference systems, specifically for fuzzy classifiers, as well as its automatic ...
A New Fitness Function for Evolutionary Music Composition
In this paper we propose a new fitness function for Evolutionary Computation purposes, based on a weighted by neighborhood average distance between two sequences of points within any metric space. We will apply this fitness ...
Modelo de optimización multiobjetivo para el algoritmo evolutivo HAEA (Hybrid Adaptive Evolutionary Algorithm)
(Bogotá - Ingeniería - Maestría en Ingeniería - Ingeniería de Sistemas y ComputaciónUniversidad Nacional de Colombia - Sede Bogotá, 2020-02-14)
This work introduces a new distributed multi-objective evolutionary algorithm which is an extension of the proposed Hybrid Adaptive Evolutionary Algorithm (HAEA). This new algorithm, called NSHAEA, defines a fitness function ...