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» An evolutionary method for complex-process optimization
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CGO
2010
IEEE
15 years 7 months ago
Automated just-in-time compiler tuning
Managed runtime systems, such as a Java virtual machine (JVM), are complex pieces of software with many interacting components. The Just-In-Time (JIT) compiler is at the core of t...
Kenneth Hoste, Andy Georges, Lieven Eeckhout
78
Voted
GECCO
2008
Springer
130views Optimization» more  GECCO 2008»
15 years 1 months ago
Fitnessless coevolution
We introduce fitnessless coevolution (FC), a novel method of comparative one-population coevolution. FC plays games between individuals to settle tournaments in the selection pha...
Wojciech Jaskowski, Krzysztof Krawiec, Bartosz Wie...
126
Voted
GECCO
2004
Springer
139views Optimization» more  GECCO 2004»
15 years 5 months ago
Chemical Genetic Programming - Coevolution Between Genotypic Strings and Phenotypic Trees
Chemical Genetic Programming (CGP) is a new method of genetic programming that introduced collision-based biochemical processes and realized dynamic mapping from genotypic strings ...
Wojciech Piaseczny, Hideaki Suzuki, Hidefumi Sawai
140
Voted
GECCO
2009
Springer
131views Optimization» more  GECCO 2009»
14 years 10 months ago
A multi-objective approach to data sharing with privacy constraints and preference based objectives
Public data sharing is utilized in a number of businesses to facilitate the exchange of information. Privacy constraints are usually enforced to prevent unwanted inference of info...
Rinku Dewri, Darrell Whitley, Indrajit Ray, Indrak...
SDM
2007
SIAM
184views Data Mining» more  SDM 2007»
15 years 1 months ago
Mining Naturally Smooth Evolution of Clusters from Dynamic Data
Many clustering algorithms have been proposed to partition a set of static data points into groups. In this paper, we consider an evolutionary clustering problem where the input d...
Yi Wang, Shi-Xia Liu, Jianhua Feng, Lizhu Zhou