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GECCO
2008
Springer
118views Optimization» more  GECCO 2008»
13 years 5 months ago
Deriving evaluation metrics for applicability of genetic algorithms to optimization problems
This paper aims to identify the missing links from theory of Genetic Algorithms (GAs) to application of GAs. Categories and Subject Descriptors: J.0 [Computer Applications]: Gener...
Hsinyi Jiang, Carl K. Chang
GECCO
2005
Springer
152views Optimization» more  GECCO 2005»
13 years 10 months ago
A multi-objective genetic algorithm for robust design optimization
Real-world multi-objective engineering design optimization problems often have parameters with uncontrollable variations. The aim of solving such problems is to obtain solutions t...
Mian Li, Shapour Azarm, Vikrant Aute
GECCO
2006
Springer
156views Optimization» more  GECCO 2006»
13 years 8 months ago
Improving GP classifier generalization using a cluster separation metric
Genetic Programming offers freedom in the definition of the cost function that is unparalleled among supervised learning algorithms. However, this freedom goes largely unexploited...
Ashley George, Malcolm I. Heywood
DEXAW
2008
IEEE
119views Database» more  DEXAW 2008»
13 years 11 months ago
Evolutionary Approaches to Linear Ordering Problem
Linear Ordering Problem (LOP) is a well know optimization problem attractive for its complexity (it is a NPhard problem), rich collection of testing data and variety of real world...
Václav Snásel, Pavel Krömer, Ja...
GECCO
2007
Springer
206views Optimization» more  GECCO 2007»
13 years 8 months ago
Using code metric histograms and genetic algorithms to perform author identification for software forensics
We have developed a technique to characterize software developers' styles using a set of source code metrics. This style fingerprint can be used to identify the likely author...
Robert Charles Lange, Spiros Mancoridis