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Adaptive and multilevel approach for constraint solving
(Springer Verlag, 2013)
BBA: A binary bat algorithm for feature selection
(2012-12-01)
Feature selection aims to find the most important information from a given set of features. As this task can be seen as an optimization problem, the combinatorial growth of the possible solutions may be in-viable for a ...
BBA: A binary bat algorithm for feature selection
(2012-12-01)
Feature selection aims to find the most important information from a given set of features. As this task can be seen as an optimization problem, the combinatorial growth of the possible solutions may be in-viable for a ...
Reconfiguration of Radial Distribution Systems with Variable Demands Using the Clonal Selection Algorithm and the Specialized Genetic Algorithm of Chu–Beasley
(2016-12-01)
This paper presents two new approaches to solve the reconfiguration problem of electrical distribution systems (EDSs) with variable demands, using the CLONALG and the SGACB algorithms. The CLONALG is a combinatorial ...
Binary Bat Algorithm for Feature Selection
(2013-08-29)
Feature selection aims to find the most important information to save computational efforts and data storage. We formulated this task as a combinatorial optimization problem since the exponential growth of possible solutions ...
Binary Bat Algorithm for Feature Selection
(2013-08-29)
Feature selection aims to find the most important information to save computational efforts and data storage. We formulated this task as a combinatorial optimization problem since the exponential growth of possible solutions ...
An Extensive Evaluation of Portfolio Approaches for Constraint Satisfaction Problems
In the context of Constraint Programming, a portfolio
approach exploits the complementary strengths of a portfolio of
different constraint solvers. The goal is to predict and run the best
solver(s) of the portfolio for ...
Binary flower pollination algorithm and its application to feature selection
(2015-01-01)
The problem of feature selection has been paramount in the last years, since it can be as important as the classification step itself. The main goal of feature selection is to find out the subset of features that optimize ...
Feature selection through gravitational search algorithm
(IEEE, 2011-01-01)
In this paper we deal with the problem of feature selection by introducing a new approach based on Gravitational Search Algorithm (GSA). The proposed algorithm combines the optimization behavior of GSA together with the ...
Feature selection through gravitational search algorithm
(IEEE, 2011-01-01)
In this paper we deal with the problem of feature selection by introducing a new approach based on Gravitational Search Algorithm (GSA). The proposed algorithm combines the optimization behavior of GSA together with the ...