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An Effective Hybrid Butterfly Optimization Algorithm with Artificial Bee Colony for Numerical Optimization
In this paper, a new hybrid optimization algorithm
which combines the standard Butterfly Optimization Algorithm
(BOA) with Artificial Bee Colony (ABC) algorithm is proposed.
The proposed algorithm used the advantages ...
Another prefiltering algorithm for adaptive IIR filtering
(1995-12-01)
An algorithm for adaptive IIR filtering that uses prefiltering structure in direct form is presented. This structure has an estimation error that is a linear function of the coefficients. This property greatly simplifies ...
Another prefiltering algorithm for adaptive IIR filtering
(1995-12-01)
An algorithm for adaptive IIR filtering that uses prefiltering structure in direct form is presented. This structure has an estimation error that is a linear function of the coefficients. This property greatly simplifies ...
Adaptive filtering strategy for numerical constraint satisfaction problems
(Elsevier Ltd, 2015)
GeoGebra as learning tool for the search of the roots of functions in numerical methods
(IOP Publishing, 2020)
Physics is capable of describing, through equations, phenomena on a micro and macroscopic scale. However, most of these equations are non-linear and the identification of their roots requires the use of approximation ...
Métodos numéricos
(2010)
Avoiding Divergence in the Shalvi-Weinstein Algorithm
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2008)
The most popular algorithms for blind equalization are the constant-modulus algorithm (CMA) and the Shalvi-Weinstein algorithm (SWA). It is well-known that SWA presents a higher convergence rate than CMA. at the expense ...
Estudo comparativo de algoritmos de integração numérica
(Universidade Tecnológica Federal do ParanáPonta GrossaBrasilDepartamento Acadêmico de InformáticaTecnologia em Análise e Desenvolvimento de SistemasUTFPR, 2011-11-10)
Integration is widely used in engineering. It can be calculated computationally, with the help of several algorithms. These algorithms perform differently with respect to speed and accuracy. These two characteristics depend ...
Handling infeasibility in a large-scale nonlinear optimization algorithm
(SpringerDordrechtHolanda, 2012)