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» Removing the Genetics from the Standard Genetic Algorithm
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ESANN
2000
13 years 10 months ago
Boundary based movement correction of functional MR data using a genetic algorithm
This paper describes a novel image registration method for movementcorrection of fMR time-series. It is important to align the fMR images in the time-series before time-dependent a...
Guojun Bao, Jagath C. Rajapakse
COLING
1996
13 years 10 months ago
Machine Translation Method Using Inductive Learning with Genetic Algorithms
We have proposed a method of machine translation, which acquires translation rules from translation examples using inductive learning, and have evaluated the method. And we have c...
Hiroshi Echizen-ya, Kenji Araki, Yoshio Momouchi, ...
GECCO
2004
Springer
109views Optimization» more  GECCO 2004»
14 years 2 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
ENC
2003
IEEE
14 years 1 months ago
Efficient Compression from Non-ergodic Sources with Genetic Algorithms
Several lossless data compression schemes have been proposed over the past years. Since Shannon developed information theory in his seminal paper, however, the problem of data com...
Angel Fernando Kuri Morales
GECCO
2003
Springer
14 years 1 months ago
Enhancing the Performance of GP Using an Ancestry-Based Mate Selection Scheme
The performance of genetic programming relies mostly on population-contained variation. If the population diversity is low then there will be a greater chance of the algorithm bein...
Rodney Fry, Andrew M. Tyrrell