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» Evolving heuristics with genetic programming
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GECCO
2005
Springer
131views Optimization» more  GECCO 2005»
14 years 2 months ago
Statistical analysis of heuristics for evolving sorting networks
Designing efficient sorting networks has been a challenging combinatorial optimization problem since the early 1960’s. The application of evolutionary computing to this problem ...
Lee K. Graham, Hassan Masum, Franz Oppacher
GECCO
2005
Springer
133views Optimization» more  GECCO 2005»
14 years 2 months ago
Parsing and translation of expressions by genetic programming
We have investigated the potential for using genetic programming to evolve compiler parsing and translation routines for processing arithmetic and logical expressions as they are ...
David Jackson
ESANN
2006
13 years 10 months ago
Using distributed genetic programming to evolve classifiers for a brain computer interface
The objective of this paper is to illustrate the application of genetic programming to evolve classifiers for multi-channel time series data. The paper shows how high performance d...
Eva Alfaro-Cid, Anna Esparcia-Alcázar, Ken ...
CEC
2009
IEEE
14 years 1 months ago
Grammar-based genetic programming for timetabling
Abstract— We present a grammar-based genetic programming framework for the solving the timetabling problem via the evolution of constructive heuristics. The grammar used for prod...
Mohamed Bahy El Bader-El-Den, Riccardo Poli
EH
2004
IEEE
107views Hardware» more  EH 2004»
14 years 15 days ago
Evolving Digital Circuits using Multi Expression Programming
Multi Expression Programming (MEP) is a Genetic Programming (GP) variant that uses linear chromosomes for solution encoding. A unique MEP feature is its ability of encoding multipl...
Mihai Oltean, Crina Grosan