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» Evolutionary Algorithms for the Satisfiability Problem
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GCB
2005
Springer
138views Biometrics» more  GCB 2005»
15 years 9 months ago
Inferring Regulatory Systems with Noisy Pathway Information
: With increasing number of pathways available in public databases, the process of inferring gene regulatory networks becomes more and more feasible. The major problem of most of t...
Christian Spieth, Felix Streichert, Nora Speer, An...
165
Voted
CEC
2007
IEEE
15 years 7 months ago
Evolution of classification rules for comprehensible knowledge discovery
This article, which lies within the data mining framework, proposes a method to build classifiers based on the evolution of rules. The method, named REC (Rule Evolution for Classif...
Emiliano Carreno, Guillermo Leguizamón, Nea...
148
Voted
PAAMS
2010
Springer
15 years 1 months ago
A Case Study on Grammatical-Based Representation for Regular Expression Evolution
Abstract. Regular expressions, or simply regex, have been widely used as a powerful pattern matching and text extractor tool through decades. Although they provide a powerful and f...
Antonio González-Pardo, David F. Barrero, D...
SIGSOFT
2007
ACM
16 years 4 months ago
The impact of input domain reduction on search-based test data generation
There has recently been a great deal of interest in search? based test data generation, with many local and global search algorithms being proposed. However, to date, there has be...
Mark Harman, Youssef Hassoun, Kiran Lakhotia, Phil...
148
Voted
GPEM
2002
163views more  GPEM 2002»
15 years 3 months ago
Fast Ant Colony Optimization on Runtime Reconfigurable Processor Arrays
Ant Colony Optimization (ACO) is a metaheuristic used to solve combinatorial optimization problems. As with other metaheuristics, like evolutionary methods, ACO algorithms often sh...
Daniel Merkle, Martin Middendorf