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GECCO
2008
Springer
123views Optimization» more  GECCO 2008»
13 years 11 months ago
Precision, local search and unimodal functions
We investigate the effects of precision on the efficiency of various local search algorithms on 1-D unimodal functions. We present a (1 + 1)-EA with adaptive step size which fin...
Martin Dietzfelbinger, Jonathan E. Rowe, Ingo Wege...
ICIP
2006
IEEE
14 years 11 months ago
Sparse Image Reconstruction for Partially known Blur Functions
In this paper, we consider the problem of image reconstruction from the noisy blurred version of an original image when the blurring operator is partially known and the original i...
Raviv Raich, Alfred O. Hero
ICCAD
1994
IEEE
90views Hardware» more  ICCAD 1994»
14 years 2 months ago
Algorithm selection: a quantitative computation-intensive optimization approach
Given a set of specifications for a targeted application, algorithm selection refers to choosing the most suitable algorithm for a given goal, among several functionally equivalen...
Miodrag Potkonjak, Jan M. Rabaey
EUSFLAT
2009
195views Fuzzy Logic» more  EUSFLAT 2009»
13 years 7 months ago
Optimization of an Oil Production System using Neural Networks and Genetic Algorithms
This paper proposes an optimization strategy which is based on neural networks and genetic algorithms to calculate the optimal values of gas injection rate and oil rate for oil pro...
Guillermo Jimenez de la Cruz, Jose A. Ruz-Hernande...
EUSFLAT
2007
126views Fuzzy Logic» more  EUSFLAT 2007»
13 years 11 months ago
Selecting the Optimal Rule Set Using a Bacterial Evolutionary Algorithm
In many regression learning algorithms for fuzzy rule bases it is not possible to define the error measure to be optimized freely. A possible alternative is the usage of global o...
Mario Drobics, János Botzheim, Klaus-Peter ...