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» Automated Learning of Rules Using Genetic Operators
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ICLP
1995
Springer
13 years 11 months ago
Operational Semantics of Constraint Logic Programs with Coroutining
The semantics of constraint logic programming languages with coroutining facilities (\freeze," suspension, residuation, etc.) cannot be fully declarative; thus, an operationa...
Andreas Podelski, Gert Smolka
ACMSE
2006
ACM
14 years 1 months ago
Using genetic algorithms to generate test plans for functionality testing
Like in other fields, computer products (applications, hardware, etc.), before being marketed, require some level of testing to verify whether they meet their design and function...
Francisca Emanuelle Vieira, Francisco Martins, Raf...
GECCO
2007
Springer
171views Optimization» more  GECCO 2007»
14 years 1 months ago
Toward a better understanding of rule initialisation and deletion
A number of heuristics have been used in Learning Classifier Systems to initialise parameters of new rules, to adjust fitness of parent rules when they generate offspring, and ...
Tim Kovacs, Larry Bull
GECCO
2004
Springer
107views Optimization» more  GECCO 2004»
14 years 1 months ago
Multiple Species Weighted Voting - A Genetics-Based Machine Learning System
Multiple Species Weighted Voting (MSWV) is a genetics-based machine learning (GBML) system with relatively few parameters that combines N two-class classifiers into an N -class cla...
Alexander F. Tulai, Franz Oppacher
GTTSE
2007
Springer
14 years 1 months ago
Automated Merging of Feature Models Using Graph Transformations
Abstract. Feature Models (FMs) are a key artifact for variability and commonality management in Software Product Lines (SPLs). In this context, the merging of FMs is being recogniz...
Sergio Segura, David Benavides, Antonio Ruiz Cort&...