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» Genetic algorithms for large join query optimization
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GECCO
2005
Springer
152views Optimization» more  GECCO 2005»
14 years 1 months ago
GAMM: genetic algorithms with meta-models for vision
Recent adaptive image interpretation systems can reach optimal performance for a given domain via machine learning, without human intervention. The policies are learned over an ex...
Greg Lee, Vadim Bulitko
GECCO
2007
Springer
124views Optimization» more  GECCO 2007»
13 years 11 months ago
Fitness-proportional negative slope coefficient as a hardness measure for genetic algorithms
The Negative Slope Coefficient (nsc) is an empirical measure of problem hardness based on the analysis of offspring-fitness vs. parent-fitness scatterplots. The nsc has been teste...
Riccardo Poli, Leonardo Vanneschi
EOR
2007
96views more  EOR 2007»
13 years 7 months ago
A balancing method and genetic algorithm for disassembly line balancing
Disassembly activities take place in various recovery operations including remanufacturing, recycling and disposal. The disassembly line is the best choice for automated disassemb...
Seamus M. McGovern, Surendra M. Gupta
GECCO
2008
Springer
145views Optimization» more  GECCO 2008»
13 years 8 months ago
Threshold selecting: best possible probability distribution for crossover selection in genetic algorithms
The paper considers the problem of selecting individuals in the current population in Genetic Algorithms for crossover to find a solution of high fitness of a given combinatoria...
Jörg Lässig, Karl Heinz Hoffmann, Mihael...
GECCO
2003
Springer
123views Optimization» more  GECCO 2003»
14 years 28 days ago
Benefits of Implicit Redundant Genetic Algorithms for Structural Damage Detection in Noisy Environments
A robust structural damage detection method that can handle noisy frequency response function information is discussed. The inherent unstructured nature of damage detection problem...
Anne M. Raich, Tamás Liszkai