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GECCO
2005
Springer
129views Optimization» more  GECCO 2005»
15 years 8 months ago
Search space modulation in genetic algorithms: evolving the search space by sinusoidal transformations
An experimental form of Modulation (Reinterpretation) of the Search Space is presented. This modulation is developed as a mathematical method that can be implemented directly into...
José Antonio Martin H.
HAIS
2009
Springer
15 years 5 months ago
A First Study on the Use of Coevolutionary Algorithms for Instance and Feature Selection
Abstract. Cooperative Coevolution is a technique in the area of Evolutionary Computation. It has been applied to many combinatorial problems with great success. This contribution p...
Joaquín Derrac, Salvador García, Fra...
100
Voted
ICDCS
1995
IEEE
15 years 6 months ago
A Distributed K-Mutual Exclusion Algorithm
This paper presents a token-based K-mutual exchsion algorithm. The algorithm uses K tokens and a dynamic forest structure for each token. This structure is used to forward token r...
Shailaja Bulgannawar, Nitin H. Vaidya
143
Voted
ICASSP
2011
IEEE
14 years 6 months ago
Feature selection through gravitational search algorithm
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 optimi...
João Paulo Papa, Andre Pagnin, Silvana Arti...
139
Voted
CORR
2010
Springer
182views Education» more  CORR 2010»
15 years 2 months ago
SPOT: An R Package For Automatic and Interactive Tuning of Optimization Algorithms by Sequential Parameter Optimization
The sequential parameter optimization (spot) package for R (R Development Core Team, 2008) is a toolbox for tuning and understanding simulation and optimization algorithms. Model-...
Thomas Bartz-Beielstein