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GECCO
1999
Springer
115views Optimization» more  GECCO 1999»
15 years 1 months ago
A Diversity Study in Genetic Algorithms for Job Shop Scheduling Problems
This paper deals with the study of population diversity in Genetic Algorithms for Job Shop Scheduling Problems. A definition of population diversity at the phenotype level and a ...
Carlos A. Brizuela, Nobuo Sannomiya
WSCG
2003
223views more  WSCG 2003»
14 years 11 months ago
Optimizing Parameters of a Motion Detection System by Means of a Genetic Algorithm
Visual surveillance and monitoring have aroused interest in the computer video community for many years. The main task of these applications is to identify (and track) moving targ...
Alessandro Bevilacqua
ICPR
2008
IEEE
15 years 4 months ago
Adaptive asymmetrical SVM and genetic algorithms based iris recognition
We propose Genetic Algorithms to improve the feature subset selection by combining the valuable outcomes from multiple feature selection methods. This paper also motivates the use...
Kaushik Roy 0002, Prabir Bhattacharya
FLAIRS
2006
14 years 11 months ago
Fuzzy Model Optimization Using Genetic Algorithm for Aircraft Engine Diagnosis
An accurate and up-to-date diagnostic model is critical for economic aircraft engine operation. However, for many commercial airline fleets, monitoring and diagnosing engine fault...
LiJie Yu, Daniel J. Cleary, Mark D. Osborn, Vrinda...
SC
2005
ACM
15 years 3 months ago
Automatic Tuning of Inlining Heuristics
Inlining improves the performance of programs by reducing the overhead of method invocation and increasing the opportunities for compiler optimization. Incorrect inlining decision...
John Cavazos, Michael F. P. O'Boyle