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GECCO
2010
Springer
187views Optimization» more  GECCO 2010»
14 years 1 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
MP
2006
106views more  MP 2006»
13 years 9 months ago
Worst-case distribution analysis of stochastic programs
We show that for even quasi-concave objective functions the worst-case distribution, with respect to a family of unimodal distributions, of a stochastic programming problem is a u...
Alexander Shapiro
ANOR
2004
155views more  ANOR 2004»
13 years 8 months ago
Model-Based Search for Combinatorial Optimization: A Critical Survey
In this paper we introduce model-based search as a unifying framework accommodating some recently proposed metaheuristics for combinatorial optimization such as ant colony optimiza...
Mark Zlochin, Mauro Birattari, Nicolas Meuleau, Ma...
GECCO
2009
Springer
128views Optimization» more  GECCO 2009»
14 years 1 months ago
Evolving stochastic processes using feature tests and genetic programming
The synthesis of stochastic processes using genetic programming is investigated. Stochastic process behaviours take the form of time series data, in which quantities of interest v...
Brian J. Ross, Janine H. Imada
CCE
2004
13 years 8 months ago
Stochastic maximum principle for optimal control under uncertainty
Optimal control problems involve the difficult task of determining time-varying profiles through dynamic optimization. Such problems become even more complex in practical situatio...
Vicente Rico-Ramírez, Urmila M. Diwekar