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ICCBR
2003
Springer
15 years 3 months ago
Using Evolution Programs to Learn Local Similarity Measures
Abstract. The definition of similarity measures is one of the most crucial aspects when developing case-based applications. In particular, when employing similarity measures that ...
Armin Stahl, Thomas Gabel
GECCO
2004
Springer
160views Optimization» more  GECCO 2004»
15 years 3 months ago
Finding Effective Software Metrics to Classify Maintainability Using a Parallel Genetic Algorithm
The ability to predict the quality of a software object can be viewed as a classification problem, where software metrics are the features and expert quality rankings the class lab...
Rodrigo A. Vivanco, Nicolino J. Pizzi
AAAI
1998
14 years 11 months ago
Extending GENET to Solve Fuzzy Constraint Satisfaction Problems
Despite much research that has been done on constraint satisfaction problems (CSP's), the framework is sometimes inflexible and the results are not very satisfactory when app...
Jason H. Y. Wong, Ho-Fung Leung
IPPS
2006
IEEE
15 years 3 months ago
Multiple sequence alignment by quantum genetic algorithm
In this paper we describe a new approach for the well known problem in bioinformatics: Multiple Sequence Alignment (MSA). MSA is fundamental task as it represents an essential pla...
L. Abdesslem, M. Soham, B. Mohamed
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
15 years 3 months ago
Stress testing real-time systems with genetic algorithms
Reactive real-time systems have to react to external events within time constraints: Triggered tasks must execute within deadlines. The goal of this article is to automate, based ...
Lionel C. Briand, Yvan Labiche, Marwa Shousha