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IWANN
2009
Springer
14 years 3 months ago
Aiding Test Case Generation in Temporally Constrained State Based Systems Using Genetic Algorithms
Generating test data for formal state based specifications is computationally expensive. This paper improves a framework that addresses this issue by representing the test data ge...
Karnig Derderian, Mercedes G. Merayo, Robert M. Hi...
GECCO
2007
Springer
156views Optimization» more  GECCO 2007»
14 years 3 months ago
Techniques for highly multiobjective optimisation: some nondominated points are better than others
The research area of evolutionary multiobjective optimization (EMO) is reaching better understandings of the properties and capabilities of EMO algorithms, and accumulating much e...
David W. Corne, Joshua D. Knowles
PERVASIVE
2007
Springer
14 years 3 months ago
Objects Calling Home: Locating Objects Using Mobile Phones
Locating physical items is a highly relevant application addressed by numerous systems. Many of these systems share the drawback that costly infrastructure must be installed before...
Christian Frank, Philipp Bolliger, Christof Rodune...
FGR
2006
IEEE
147views Biometrics» more  FGR 2006»
14 years 3 months ago
Learning Sparse Features in Granular Space for Multi-View Face Detection
In this paper, a novel sparse feature set is introduced into the Adaboost learning framework for multi-view face detection (MVFD), and a learning algorithm based on heuristic sear...
Chang Huang, Haizhou Ai, Yuan Li, Shihong Lao
GECCO
2005
Springer
139views Optimization» more  GECCO 2005»
14 years 2 months ago
A genetic algorithm for unmanned aerial vehicle routing
Genetic Algorithms (GAs) can efficiently produce high quality results for hard combinatorial real world problems such as the Vehicle Routing Problem (VRP). Genetic Vehicle Represe...
Matthew A. Russell, Gary B. Lamont