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GECCO
2004
Springer
109views Optimization» more  GECCO 2004»
15 years 8 months ago
Tackling an Inverse Problem from the Petroleum Industry with a Genetic Algorithm for Sampling
Abstract. When direct measurement of model parameters is not possible, these need to be inferred indirectly from calibration data. To solve this inverse problem, an algorithm that ...
Pedro J. Ballester, Jonathan N. Carter
ICIP
2010
IEEE
15 years 14 days ago
Poisson NL means: Unsupervised non local means for Poisson noise
An extension of the non local (NL) means is proposed for images damaged by Poisson noise. The proposed method is guided by the noisy image and a pre-filtered image and is adapted ...
Charles-Alban Deledalle, Florence Tupin, Loïc...
ROBIO
2006
IEEE
130views Robotics» more  ROBIO 2006»
15 years 8 months ago
GA-Based Multi-Objective Optimal Design of a Planar 3-DOF Cable-Driven Parallel Manipulator
— The architecture optimization of a three degrees of freedom (3-DOF) planar cable-driven parallel manipulator (CDPM) with multiple objectives has been implemented by means of GA...
Yangmin Li, Qingsong Xu
118
Voted
EOR
2006
59views more  EOR 2006»
15 years 2 months ago
Sensitivity analysis in linear optimization: Invariant support set intervals
Sensitivity analysis is one of the most interesting and preoccupying areas in optimization. Many attempts are made to investigate the problem's behavior when the input data c...
Alireza Ghaffari Hadigheh, Tamás Terlaky
CCE
2008
15 years 2 months ago
Chance constrained programming approach to process optimization under uncertainty
Deterministic optimization approaches have been well developed and widely used in the process industry to accomplish off-line and on-line process optimization. The challenging tas...
Pu Li, Harvey Arellano-Garcia, Günter Wozny