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» Evolving Turbo Code Interleavers by Genetic Algorithms
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GECCO
2005
Springer
134views Optimization» more  GECCO 2005»
13 years 11 months ago
Predicting mining activity with parallel genetic algorithms
We explore several different techniques in our quest to improve the overall model performance of a genetic algorithm calibrated probabilistic cellular automata. We use the Kappa ...
Sam Talaie, Ryan E. Leigh, Sushil J. Louis, Gary L...
DNA
2005
Springer
13 years 11 months ago
Two Proteins for the Price of One: The Design of Maximally Compressed Coding Sequences
Abstract. The emerging field of synthetic biology moves beyond conventional genetic manipulation to construct novel life forms which do not originate in nature. We explore the pro...
Bei Wang, Dimitris Papamichail, Steffen Mueller, S...
CISS
2008
IEEE
13 years 12 months ago
A genetic algorithm for designing constellations with low error floors
—The error floor of bit-interleaved coded modulation with iterative decoding (BICM-ID) can be minimized for a particular constellation by maximizing the harmonic mean of the squ...
Matthew C. Valenti, Raghu Doppalapudi, Don J. Torr...
SIGADA
2004
Springer
13 years 10 months ago
Comparative analysis of genetic algorithm implementations
Genetic Algorithms provide computational procedures that are modeled on natural genetic system mechanics, whereby a coded solution is “evolved” from a set of potential solutio...
Robert Soricone, Melvin Neville
GECCO
2008
Springer
111views Optimization» more  GECCO 2008»
13 years 6 months ago
Multi-task code reuse in genetic programming
We propose a method of knowledge reuse between evolutionary processes that solve different optimization tasks. We define the method in the framework of tree-based genetic progra...
Wojciech Jaskowski, Krzysztof Krawiec, Bartosz Wie...