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ICTAI
1997
IEEE
14 years 2 months ago
Toward the Optimization of a Class of Black Box Optimization Algorithms
Many black box optimization algorithms have sufcient exibility to allow them to adapt to the varying circumstances they encounter. These capabilities are of two primary sorts: 1) ...
Gang Wang, Erik D. Goodman, William F. Punch III
CORR
2010
Springer
182views Education» more  CORR 2010»
13 years 10 months ago
SPOT: An R Package For Automatic and Interactive Tuning of Optimization Algorithms by Sequential Parameter Optimization
The sequential parameter optimization (spot) package for R (R Development Core Team, 2008) is a toolbox for tuning and understanding simulation and optimization algorithms. Model-...
Thomas Bartz-Beielstein
CVPR
2011
IEEE
13 years 1 months ago
Global Optimization for Optimal Generalized Procrustes Analysis
This paper deals with generalized procrustes analysis. This is the problem of registering a set of shape data by estimating a reference shape and a set of rigid transformations gi...
Daniel Pizarro, Adrien Bartoli
GECCO
2009
Springer
14 years 4 months ago
Optimal robust expensive optimization is tractable
Following a number of recent papers investigating the possibility of optimal comparison-based optimization algorithms for a given distribution of probability on fitness functions...
Philippe Rolet, Michèle Sebag, Olivier Teyt...
INFORMATICALT
2002
91views more  INFORMATICALT 2002»
13 years 9 months ago
Bayesian Heuristic Approach to Scheduling
Abstract. Real life scheduling problems are solved by heuristics with parameters defined by experts, as usual. In this paper a new approach is proposed where the parameters of vari...
Jonas Mockus