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» Genetic Algorithms for Dynamic Test Data Generation
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CEC
2007
IEEE
15 years 6 months ago
Efficient assembling of genome fragments using genetic algorithm enhanced by heuristic search
Abstract-- Shotgun sequencing is the state-of-the-art to decode genome sequence. However this technique needs a lot of fragments. Combining those fragments correctly requires enorm...
Satoko Kikuchi, Goutam Chakraborty
GECCO
2008
Springer
238views Optimization» more  GECCO 2008»
15 years 3 months ago
Using multiple offspring sampling to guide genetic algorithms to solve permutation problems
The correct choice of an evolutionary algorithm, a genetic representation for the problem being solved (as well as their associated variation operators) and the appropriate values...
Antonio LaTorre, José Manuel Peña, V...
PPSN
1994
Springer
15 years 6 months ago
Genetic L-System Programming
We present the Genetic L-System Programming (GLP) paradigm for evolutionary creation and development of parallel rewrite systems (Lsystems, Lindenmayer-systems) which provide a com...
Christian Jacob
CEC
2010
IEEE
15 years 3 months ago
Evolving a CUDA kernel from an nVidia template
Rather than attempting to evolve a complete program from scratch we demonstrate genetic interface programming (GIP) by automatically generating a parallel CUDA kernel with identica...
William B. Langdon, Mark Harman
DMIN
2006
132views Data Mining» more  DMIN 2006»
15 years 3 months ago
Discovering Accurate and Interesting Classification Rules Using Genetic Algorithm
Discovering accurate and interesting classification rules is a significant task in the post-processing stage of a data mining (DM) process. Therefore, an optimization problem exis...
Janaki Gopalan, Reda Alhajj, Ken Barker