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GECCO
2004
Springer
117views Optimization» more  GECCO 2004»
14 years 3 months ago
Evaluating Evolutionary Testability with Software-Measurements
Test case design is the most important test activity with respect to test quality. For this reason, a large number of testing methods have been developed to assist the tester with ...
Frank Lammermann, André Baresel, Joachim We...
GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
14 years 3 months ago
TestFul: using a hybrid evolutionary algorithm for testing stateful systems
This paper introduces TestFul, a framework for testing stateful systems and focuses on object-oriented software. TestFul employs a hybrid multi-objective evolutionary algorithm, t...
Matteo Miraz, Pier Luca Lanzi, Luciano Baresi
AAAI
2006
13 years 11 months ago
Sample-Efficient Evolutionary Function Approximation for Reinforcement Learning
Reinforcement learning problems are commonly tackled with temporal difference methods, which attempt to estimate the agent's optimal value function. In most real-world proble...
Shimon Whiteson, Peter Stone
FPL
2004
Springer
103views Hardware» more  FPL 2004»
14 years 3 months ago
Automating Optimized Table-with-Polynomial Function Evaluation for FPGAs
Abstract. Function evaluation is at the core of many compute-intensive applications which perform well on reconfigurable platforms. Yet, in order to implement function evaluation ...
Dong-U Lee, Oskar Mencer, David J. Pearce, Wayne L...
WCE
2007
13 years 11 months ago
On Line Surface Roughness Measurement Using Image Processing and Machine Vision
- Machine vision has evolved to become a mainstream automation tool, enabling computers to replace human vision in high speed and precision manufacturing techniques. Images usually...
M. Rajaram Narayanan, S. Gowri, M. Murali Krishna