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PRICAI
2004
Springer
13 years 11 months ago
Power of Brute-Force Search in Strongly-Typed Inductive Functional Programming Automation
Abstract. A successful case of applying brute-force search to functional programming automation is presented and compared with a conventional genetic programming method. From the i...
Susumu Katayama
MINENET
2005
ACM
13 years 11 months ago
ACAS: automated construction of application signatures
An accurate mapping of traffic to applications is important for a broad range of network management and measurement tasks. Internet applications have traditionally been identifi...
Patrick Haffner, Subhabrata Sen, Oliver Spatscheck...
BMCBI
2010
185views more  BMCBI 2010»
13 years 1 months ago
MetaPIGA v2.0: maximum likelihood large phylogeny estimation using the metapopulation genetic algorithm and other stochastic heu
Background: The development, in the last decade, of stochastic heuristics implemented in robust application softwares has made large phylogeny inference a key step in most compara...
Raphaël Helaers, Michel C. Milinkovitch
TSE
2010
197views more  TSE 2010»
13 years 28 days ago
A Genetic Algorithm-Based Stress Test Requirements Generator Tool and Its Empirical Evaluation
Genetic algorithms (GAs) have been applied previously to UML-driven, stress test requirements generation with the aim of increasing chances of discovering faults relating to networ...
Vahid Garousi
FPGA
2006
ACM
224views FPGA» more  FPGA 2006»
13 years 10 months ago
Flexible implementation of genetic algorithms on FPGAs
In this paper, we propose a technique to flexibly implement genetic algorithms for various problems on FPGAs. For the purpose, we propose a basic architecture for GA which consist...
Tatsuhiro Tachibana, Yoshihiro Murata, Naoki Shiba...