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GECCO
2009
Springer
147views Optimization» more  GECCO 2009»
15 years 2 months ago
Benchmarking the (1+1)-CMA-ES on the BBOB-2009 function testbed
The (1+1)-CMA-ES is an adaptive stochastic algorithm for the optimization of objective functions defined on a continuous search space in a black-box scenario. In this paper, an i...
Anne Auger, Nikolaus Hansen
GECCO
2009
Springer
142views Optimization» more  GECCO 2009»
15 years 2 months ago
Benchmarking the (1+1)-CMA-ES on the BBOB-2009 noisy testbed
We benchmark an independent-restart-(1+1)-CMA-ES on the BBOB-2009 noisy testbed. The (1+1)-CMA-ES is an adaptive stochastic algorithm for the optimization of objective functions d...
Anne Auger, Nikolaus Hansen
ATAL
2009
Springer
15 years 4 months ago
Producing timely recommendations from social networks through targeted search
There has been a significant increase in interest and participation in social networking websites recently. For many users, social networks are indispensable tools for sharing pe...
Anil Gürsel, Sandip Sen
AAAI
2007
15 years 3 days ago
Randomized Adaptive Spatial Decoupling for Large-Scale Vehicle Routing with Time Windows
In recent years, the size of combinatorial applications and the need to produce high-quality solutions quickly have increased steadily, providing significant challenges for optim...
Russell Bent, Pascal Van Hentenryck
INFOCOM
2011
IEEE
14 years 1 months ago
Adaptive algorithms for detecting community structure in dynamic social networks
—Social networks exhibit a very special property: community structure. Understanding the network community structure is of great advantages. It not only provides helpful informat...
Nam P. Nguyen, Thang N. Dinh, Ying Xuan, My T. Tha...