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ECAI
2010
Springer
13 years 9 months ago
Bayesian Monte Carlo for the Global Optimization of Expensive Functions
In the last decades enormous advances have been made possible for modelling complex (physical) systems by mathematical equations and computer algorithms. To deal with very long run...
Perry Groot, Adriana Birlutiu, Tom Heskes
ANOR
2005
89views more  ANOR 2005»
13 years 8 months ago
Logic-Based Modeling and Solution of Nonlinear Discrete/Continuous Optimization Problems
This paper presents a review of advances in the mathematical programming approach to discrete/continuous optimization problems. We first present a brief review of MILP and MINLP f...
Sangbum Lee, Ignacio E. Grossmann
GECCO
2008
Springer
133views Optimization» more  GECCO 2008»
13 years 9 months ago
The micro-genetic operator in the search of global trends
This work studies the mGA operator (Micro Genetic Algorithm), that has been proposed in literature as a “local search” operator for optimization with Genetic Algorithm. A new ...
Flávio V. C. Martins, Eduardo G. Carrano, E...
GECCO
2007
Springer
172views Optimization» more  GECCO 2007»
14 years 2 months ago
An extended mutation concept for the local selection based differential evolution algorithm
A new mutation concept is proposed to generalize local selection based Differential Evolution algorithm to work in general multimodal problems. Three variations of the proposed me...
Jani Rönkkönen, Jouni Lampinen
ENGL
2007
101views more  ENGL 2007»
13 years 8 months ago
Multiresolution Knowledge Mining using Wavelet Transform
— Most research in Knowledge Mining deal with the basic models like clustering, classification, regression, association rule mining and so on. In the process of quest for knowled...
R. Pradeep Kumar, P. Nagabhushan