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WSC
1998
13 years 5 months ago
Average Performance of Quasi Monte Carlo Methods for Global Optimization
In this paper we compare the average performance of one class of low-discrepancy quasi-Monte Carlo sequences for global optimization. Weiner measure is assumed as the probability ...
Hisham A. Al-Mharmah
WSC
1997
13 years 5 months ago
Comparison of Monte Carlo and Deterministic Methods for Non-Adaptive Optimization
In this paper we compare the average performance of Monte Carlo methods for global optimization with non-adaptive deterministic alternatives. We analyze the behavior of the algori...
Hisham A. Al-Mharmah, James M. Calvin
GECCO
2005
Springer
141views Optimization» more  GECCO 2005»
13 years 10 months ago
Local and global order 3/2 convergence of a surrogate evolutionary algorithm
A Quasi-Monte-Carlo method based on the computation of a surrogate model of the fitness function is proposed, and its convergence at super-linear rate 3/2 is proved under rather ...
Anne Auger, Marc Schoenauer, Olivier Teytaud
CEC
2010
IEEE
13 years 3 months ago
Gaussian Adaptation as a unifying framework for continuous black-box optimization and adaptive Monte Carlo sampling
Abstract— We present a unifying framework for continuous optimization and sampling. This framework is based on Gaussian Adaptation (GaA), a search heuristic developed in the late...
Christian L. Müller, Ivo F. Sbalzarini
WSC
2004
13 years 5 months ago
Adaptive Control Variates
Adaptive Monte Carlo methods are specialized Monte Carlo simulation techniques where the methods are adaptively tuned as the simulation progresses. The primary focus of such techn...
Sujin Kim, Shane G. Henderson