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ICSE
1998
IEEE-ACM
13 years 9 months ago
A Model of Noisy Software Engineering Data (Status Report)
other projects in the database. Software development data is highly variable, which often result,s in underlying trends being hidden. In order to address this problem, a method of ...
Roseanne Tesoriero, Marvin V. Zelkowitz
FOCI
2007
IEEE
13 years 9 months ago
Evolutionary Algorithms in the Presence of Noise: To Sample or Not to Sample
Abstract-- In this paper, we empirically analyze the convergence behavior of evolutionary algorithms (evolution strategies
Hans-Georg Beyer, Bernhard Sendhoff
GECCO
2010
Springer
187views Optimization» more  GECCO 2010»
13 years 9 months ago
Benchmarking the (1, 4)-CMA-ES with mirrored sampling and sequential selection on the noisy BBOB-2010 testbed
The Covariance-Matrix-Adaptation Evolution-Strategy (CMA-ES) is a robust stochastic search algorithm for optimizing functions defined on a continuous search space RD . Recently, ...
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
TIT
2011
121views more  TIT 2011»
13 years 8 days ago
Strongly Consistent Estimation of the Sample Distribution of Noisy Continuous-Parameter Fields
The general problem of defining and determining the sample distribution in the case of continuousparameter random fields, is addressed. Defining a distribution in the case of d...
Shahar Z. Kovalsky, Guy Cohen, Joseph M. Francos
ICTAI
2009
IEEE
13 years 3 months ago
A Confidence-Based Dominance Operator in Evolutionary Algorithms for Noisy Multiobjective Optimization Problems
This paper describes a noise-aware dominance operator for evolutionary algorithms to solve the multiobjective optimization problems (MOPs) that contain noise in their objective fu...
Pruet Boonma, Junichi Suzuki