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» On Benchmarking Stochastic Global Optimization Algorithms
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VTC
2006
IEEE
117views Communications» more  VTC 2006»
14 years 1 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»
14 years 1 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»
13 years 9 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
14 years 2 months 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
11 years 10 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