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GECCO
2007
Springer
156views Optimization» more  GECCO 2007»
14 years 8 days 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
CONSTRAINTS
2007
112views more  CONSTRAINTS 2007»
13 years 6 months ago
Maxx: Test Pattern Optimisation with Local Search Over an Extended Logic
In the ECAD area, the Test Generation (TG) problem consists in finding an input vector test for some possible diagnosis (a set of faults) of a digital circuit. Such tests may have ...
Francisco Azevedo
ICML
2008
IEEE
14 years 7 months ago
Sparse multiscale gaussian process regression
Most existing sparse Gaussian process (g.p.) models seek computational advantages by basing their computations on a set of m basis functions that are the covariance function of th...
Bernhard Schölkopf, Christian Walder, Kwang I...
EMSOFT
2007
Springer
14 years 9 days ago
A dynamic scheduling approach to designing flexible safety-critical systems
The design of safety-critical systems has typically adopted static techniques to simplify error detection and fault tolerance. However, economic pressure to reduce costs is exposi...
Luís Almeida, Sebastian Fischmeister, Madhu...
DATAMINE
2006
89views more  DATAMINE 2006»
13 years 6 months ago
Scalable Clustering Algorithms with Balancing Constraints
Clustering methods for data-mining problems must be extremely scalable. In addition, several data mining applications demand that the clusters obtained be balanced, i.e., be of ap...
Arindam Banerjee, Joydeep Ghosh