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» Optimizing for Reduced Code Space using Genetic Algorithms
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115
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GECCO
2003
Springer
171views Optimization» more  GECCO 2003»
15 years 7 months ago
Genetic Algorithm Optimized Feature Transformation - A Comparison with Different Classifiers
When using a Genetic Algorithm (GA) to optimize the feature space of pattern classification problems, the performance improvement is not only determined by the data set used, but a...
Zhijian Huang, Min Pei, Erik D. Goodman, Yong Huan...
88
Voted
ICEC
1994
68views more  ICEC 1994»
15 years 3 months ago
Extended Forking Genetic Algorithm for Order Representation (O-FGA)
There are two types of GAs with difference of their representation of strings. They are the binary coded GA and the order-based GA. We've already proposed a new type of binar...
Shigeyoshi Tsutsui, Yoshiji Fujimoto, Isao Hayashi
135
Voted
GECCO
2007
Springer
163views Optimization» more  GECCO 2007»
15 years 8 months ago
Exploring medical data using visual spaces with genetic programming and implicit functional mappings
Two medical data sets (Breast cancer and Colon cancer) are investigated within a visual data mining paradigm through the unsupervised construction of virtual reality spaces using ...
Julio J. Valdés, Robert Orchard, Alan J. Ba...
125
Voted
GECCO
2010
Springer
163views Optimization» more  GECCO 2010»
15 years 5 months ago
Factors affecting the use of genetic algorithms in test suite augmentation
Test suite augmentation techniques are used in regression testing to help engineers identify code elements affected by changes, and generate test cases to cover those elements. R...
Zhihong Xu, Myra B. Cohen, Gregg Rothermel
GECCO
2006
Springer
121views Optimization» more  GECCO 2006»
15 years 5 months ago
A splicing/decomposable encoding and its novel operators for genetic algorithms
In this paper, we introduce a new genetic representation -- a splicing/decomposable (S/D) binary encoding, which was proposed based on some theoretical guidance and existing recom...
Yong Liang, Kwong-Sak Leung, Kin-Hong Lee