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» Representations for evolutionary algorithms
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GECCO
2005
Springer
163views Optimization» more  GECCO 2005»
15 years 9 months ago
Benefits of software measures for evolutionary white-box testing
White-box testing is an important method for the early detection of errors during software development. In this process test case generation plays a crucial role, defining appropr...
Frank Lammermann, Stefan Wappler
123
Voted
WWW
2003
ACM
16 years 4 months ago
An Evolutionary Approach to Web Request Prediction
This paper proposes an evolutionary algorithm that evolves a population of finite state automata to exploit user navigational path behavior to predict, in real-time, future reques...
Dario Bonino, Fulvio Corno, Giovanni Squillero
137
Voted
CIKM
2007
Springer
15 years 9 months ago
Randomized metric induction and evolutionary conceptual clustering for semantic knowledge bases
We present an evolutionary clustering method which can be applied to multi-relational knowledge bases storing resource annotations expressed in the standard languages for the Sema...
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
128
Voted
ICANNGA
2007
Springer
112views Algorithms» more  ICANNGA 2007»
15 years 9 months ago
Multiple Sequence Alignment with Evolutionary-Progressive Method
A new evolutionary-progressive method for Multiple Sequence Alignment problem is proposed. The method efficiently combines flexibility of evolutionary approach with speed and accu...
Pawel Kupis, Jacek Mandziuk
137
Voted
ISSTA
2004
ACM
15 years 9 months ago
Evolutionary testing in the presence of loop-assigned flags: a testability transformation approach
Evolutionary testing is an effective technique for automatically generating good quality test data. However, for structural testing, the technique degenerates to random testing i...
André Baresel, David Binkley, Mark Harman, ...