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» Function Optimization with Coevolutionary Algorithms
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TSP
2008
91views more  TSP 2008»
15 years 1 months ago
MIMO Radar Ambiguity Properties and Optimization Using Frequency-Hopping Waveforms
The concept of multiple-input multiple-output (MIMO) radars has drawn considerable attention recently. Unlike the traditional single-input multiple-output (SIMO) radar which emits ...
Chun-Yang Chen, P. P. Vaidyanathan
GECCO
2009
Springer
148views Optimization» more  GECCO 2009»
15 years 5 months ago
Benchmarking the NEWUOA on the BBOB-2009 noisy testbed
The NEWUOA which belongs to the class of DerivativeFree optimization algorithms is benchmarked on the BBOB2009 noisy testbed. A multistart strategy is applied with a maximum numbe...
Raymond Ros
ECAI
2006
Springer
15 years 5 months ago
Patch Learning for Incremental Classifier Design
We present a learning algorithm for nominal data. It builds a classifier by adding iteratively a simple patch function that modifies the current classifier. Its main advantage lies...
Rudy Sicard, Thierry Artières, Eric Petit
EMO
2005
Springer
194views Optimization» more  EMO 2005»
15 years 6 months ago
An EMO Algorithm Using the Hypervolume Measure as Selection Criterion
Abstract. The hypervolume measure is one of the most frequently applied measures for comparing the results of evolutionary multiobjective optimization algorithms (EMOA). The idea t...
Michael Emmerich, Nicola Beume, Boris Naujoks
CVPR
2004
IEEE
16 years 3 months ago
Multiple Kernel Tracking with SSD
Kernel-based objective functions optimized using the mean shift algorithm have been demonstrated as an effective means of tracking in video sequences. The resulting algorithms com...
Gregory D. Hager, Maneesh Dewan, Charles V. Stewar...