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MMSEC
2006
ACM
213views Multimedia» more  MMSEC 2006»
15 years 3 months ago
Parameter optimization for biometric fingerprint recognition using genetic algorithms
In this paper, we suggest an optimization approach for fingerprint authentication using genetic algorithms. Our application was planned so that it can be used without great effort...
Tobias Scheidat, Andreas Engel, Claus Vielhauer
GECCO
2005
Springer
175views Optimization» more  GECCO 2005»
15 years 3 months ago
Evolution of multi-loop controllers for fixed morphology with a cyclic genetic algorithm
Cyclic genetic algorithms can be used to generate single loop control programs for robots. While successful in generating controllers for individual leg movement, gait generation,...
Gary B. Parker, Ramona Georgescu
GECCO
2006
Springer
186views Optimization» more  GECCO 2006»
15 years 1 months ago
Genetic algorithms for action set selection across domains: a demonstration
Action set selection in Markov Decision Processes (MDPs) is an area of research that has received little attention. On the other hand, the set of actions available to an MDP agent...
Greg Lee, Vadim Bulitko
APIN
2004
107views more  APIN 2004»
14 years 9 months ago
Designing Polymer Blends Using Neural Networks, Genetic Algorithms, and Markov Chains
In this paper we present a new technique to simulate polymer blends that overcomes the shortcomings in polymer system modeling. This method has an inherent advantage in that the v...
N. K. Roy, Walter D. Potter, D. P. Landau
GECCO
2006
Springer
132views Optimization» more  GECCO 2006»
15 years 1 months ago
Combining genetic algorithms with squeaky-wheel optimization
The AI optimization algorithm called "Squeaky-Wheel Optimization" (SWO) has proven very effective in a variety of real-world applications. Although the ideas behind SWO ...
Justin Terada, Hoa Vo, David Joslin