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CEC
2009
IEEE
15 years 9 months ago
Comparing parameter tuning methods for evolutionary algorithms
Abstract— Tuning the parameters of an evolutionary algorithm (EA) to a given problem at hand is essential for good algorithm performance. Optimizing parameter values is, however,...
Selmar K. Smit, A. E. Eiben
111
Voted
CEC
2010
IEEE
15 years 2 months ago
Parallel hybrid evolutionary algorithms on GPU
Abstract— Over the last years, interest in hybrid metaheuristics has risen considerably in the field of optimization. Combinations of methods such as evolutionary algorithms and...
Thé Van Luong, Nouredine Melab, El-Ghazali ...
IWPC
1998
IEEE
15 years 6 months ago
DIME: A Direct Manipulation Environment for Evolutionary Development of Software
This paper presents an overview of the DIME environment (DIrect Manipulation Environment) being developed by the author. The paper presents the DIME vision, its catalogue of evolu...
Arun Lakhotia
GECCO
2003
Springer
15 years 7 months ago
A Case for Codons in Evolutionary Algorithms
A new method is developed for representation and encoding in population-based evolutionary algorithms. The method is inspired by the biological genetic code and utilizes a many-to-...
Joshua Gilbert, Margaret J. Eppstein
83
Voted
GECCO
2004
Springer
15 years 8 months ago
How Are We Doing? Predicting Evolutionary Algorithm Performance
Abstract. Given an evolutionary algorithm for a problem and an instance of the problem, the results of several trials of the EA on the instance constitute a sample from the distrib...
Mark A. Renslow, Brenda Hinkemeyer, Bryant A. Juls...