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COR
2010
110views more  COR 2010»
15 years 15 days ago
An evolutionary method for complex-process optimization
In this paper we present a new evolutionary method for complex-process optimization. It is partially based on principles of the scatter search methodology, but it makes use of inn...
Jose A. Egea, Rafael Martí, Julio R. Banga
95
Voted
ICIC
2007
Springer
15 years 2 months ago
Parameter Tuning for Buck Converters Using Genetic Algorithms
The buck converter is one of DC/DC converters that are often used as power supplies. This paper presents parameter tuning methods to obtain circuit element values for the buck conv...
Young-Kiu Choi, Byung-Wook Jung
GECCO
2006
Springer
205views Optimization» more  GECCO 2006»
15 years 4 months ago
Bounding XCS's parameters for unbalanced datasets
This paper analyzes the behavior of the XCS classifier system on imbalanced datasets. We show that XCS with standard parameter settings is quite robust to considerable class imbal...
Albert Orriols-Puig, Ester Bernadó-Mansilla
114
Voted
CORR
2010
Springer
182views Education» more  CORR 2010»
15 years 15 days 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
109
Voted
GECCO
2007
Springer
209views Optimization» more  GECCO 2007»
15 years 6 months ago
An online implementable differential evolution tuned optimal guidance law
This paper proposes a novel application of differential evolution to solve a difficult dynamic optimisation or optimal control problem. The miss distance in a missile-target engag...
Raghunathan Thangavelu, S. Pradeep