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NC
1998
138views Neural Networks» more  NC 1998»
13 years 9 months ago
Parallel Adaptive Genetic Algorithm
In this paper we introduce an efficient implementation of asynchronously parallel genetic algorithm with adaptive genetic operators. The classic genetic algorithm paradigm is exte...
Leo Budin, Marin Golub, Domagoj Jakobovic
GECCO
2010
Springer
174views Optimization» more  GECCO 2010»
13 years 11 months ago
Real-coded genetic algorithm benchmarked on noiseless black-box optimization testbed
Genetic algorithms—a class of stochastic population-based optimization techniques—have been widely realized as the effective tools to solve complicated optimization problems ...
Thanh-Do Tran, Gang-Gyoo Jin
GECCO
2006
Springer
132views Optimization» more  GECCO 2006»
13 years 12 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
MMSEC
2006
ACM
213views Multimedia» more  MMSEC 2006»
14 years 2 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
CEC
2008
IEEE
14 years 2 months ago
Path optimization for multiple objectives in directed graphs using genetic algorithms
Abstract— This paper presents a genetic algorithmic approach for finding efficient paths in directed graphs when optimizing multiple objectives. Its aim is to provide solutions...
Juan Rada, Ruben Parma, Wilmer Pereira