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Learning Fuzzy Cognitive Maps with modified asexual reproduction optimisation algorithm
(Elsevier B.V., 2019)
Reducing the Experiments Required to Assess the Performance of Metaheuristic Algorithms
(Revista Computación y Sistemas; Vol. 14 No.1, 2010-09-30)
Abstract. When assessing experimentally the performance of metaheuristic algorithms on a set of hard instances of an NP-complete problem, the required time to carry out the experimentation can be very large. A means to ...
Adaptive improved flower pollination algorithm for global optimization
(2020-01-01)
In the last few years, meta-heuristic-driven optimization algorithms have been employed to solve several problems since they can provide simple and elegant solutions. In this work, we introduced an improved adaptive version ...
A structure-based coarse-fine approach for diversity tuning in cellular GAs
(Advances in Electrical and Computer Engineering, 2012)
Automatic Design of Decision-Tree Algorithms with Evolutionary Algorithms
(Mit Press, 2013-11-01)
This study reports the empirical analysis of a hyper-heuristic evolutionary algorithm that is capable of automatically designing top-down decision-tree induction algorithms. Top-down decision-tree algorithms are of great ...
Online control of enumeration strategies via bat algorithm and black hole optimization
(Springer Netherlands, 2017)
Algorithms for network piecewise-linear programs: A comparative study
(Elsevier Science BvAmsterdamHolanda, 1997)
Análise e comparação entre algoritmos de percolação
(Universidade Federal do Rio Grande do NorteBRUFRNPrograma de Pós-Graduação em Matemática Aplicada e EstatísticaProbabilidade e Estatística; Modelagem Matemática, 2008-07-25)
In this work, we study and compare two percolation algorithms, one of then elaborated by Elias, and the other one by Newman and Ziff, using theorical tools of algorithms complexity and another algorithm that makes an ...
Dimensionality reduction for the algorithm recommendation problem
(2018-12-13)
Given the increase in data generation, as many algorithms have become available in recent years, the algorithm recommendation problem has attracted increasing attention in Machine Learning. This problem has been addressed ...
Optimum-Path Forest pruning parameter estimation through Harmony Search
(2011-12-01)
Pattern recognition in large amount of data has been paramount in the last decade, since that is not straightforward to design interactive and real time classification systems. Very recently, the Optimum-Path Forest ...