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» Removing the Genetics from the Standard Genetic Algorithm
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MCU
2007
95views Hardware» more  MCU 2007»
13 years 10 months ago
Slightly Beyond Turing's Computability for Studying Genetic Programming
Inspired by genetic programming (GP), we study iterative algorithms for non-computable tasks and compare them to naive models. This framework justifies many practical standard tri...
Olivier Teytaud
GECCO
2006
Springer
132views Optimization» more  GECCO 2006»
14 years 7 days ago
Combining genetic algorithms with squeaky-wheel optimization
The AI optimization algorithm called "Squeaky-Wheel Optimization" (SWO) has proven very effective in a variety of real-world applications. Although the ideas behind SWO ...
Justin Terada, Hoa Vo, David Joslin
PPSN
2004
Springer
14 years 1 months ago
Detecting and Pruning Introns for Faster Decision Tree Evolution
We show how the understandability and speed of genetic programming classification algorithms can be improved, without affecting the classification accuracy. By analyzing the dec...
Jeroen Eggermont, Joost N. Kok, Walter A. Kosters
VLSID
1996
IEEE
133views VLSI» more  VLSID 1996»
14 years 22 days ago
Allocation and Binding in Data Path Synthesis Using a Genetic Algorithm Approach
A technique for allocatzon and binding for data path synthesis (DPS) using a Genetic Algorithm (GA) approach has been developed. The proposed genetic algorithm uses a non-conventi...
Chittaranjan A. Mandal, P. P. Chakrabarti, Sujoy G...
CAMP
2005
IEEE
14 years 2 months ago
Restoration of Vertical Line Scratches with a Distributed Genetic Algorithm
— This contribution approaches the problem of scratch restoration in old movies as a optimisation’s problem. The functional based on the statistical properties of the image aro...
Francesco Isgrò, Domenico Tegolo