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» On Benchmarking Stochastic Global Optimization Algorithms
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VTC
2006
IEEE
117views Communications» more  VTC 2006»
15 years 12 months ago
Simulation of Throughput in UMTS Networks with Different Spreading Factors
— We design and implement a local session1 admission control (SAC) algorithm for third-generation wireless networks which allows for the simulation of network throughput for diff...
Robert Akl, Anurag Arepally
EMO
2005
Springer
68views Optimization» more  EMO 2005»
15 years 11 months ago
Multi-objective Optimization of Problems with Epistemic Uncertainty
Abstract. Multi-objective evolutionary algorithms (MOEAs) have proven to be a powerful tool for global optimization purposes of deterministic problem functions. Yet, in many real-w...
Philipp Limbourg
GECCO
2010
Springer
187views Optimization» more  GECCO 2010»
15 years 7 months ago
Mirrored variants of the (1, 2)-CMA-ES compared on the noiseless BBOB-2010 testbed
Derandomization by means of mirroring has been recently introduced to enhance the performances of (1, λ)-EvolutionStrategies (ESs) with the aim of designing fast robust local sea...
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
ISDA
2008
IEEE
16 years 8 days ago
Genetic Annealing Optimization: Design and Real World Applications
Both simulated annealing (SA) and the genetic algorithms (GA) are stochastic and derivative-free optimization technique. SA operates on one solution at a time, while the GA mainta...
Mostafa A. El-Hosseini, Aboul Ella Hassanien, Ajit...
JMLR
2012
13 years 8 months ago
Multi Kernel Learning with Online-Batch Optimization
In recent years there has been a lot of interest in designing principled classification algorithms over multiple cues, based on the intuitive notion that using more features shou...
Francesco Orabona, Jie Luo, Barbara Caputo