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» Adapting Representation in Genetic Programming
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2008
Springer
13 years 7 months ago
Functional genetic programming and exhaustive program search with combinator expressions
Using a strongly typed functional programming language for genetic programming has many advantages, but evolving functional programs with variables requires complex genetic operat...
Forrest Briggs, Melissa O'Neill
GECCO
2004
Springer
127views Optimization» more  GECCO 2004»
14 years 26 days ago
Automatic Synthesis of an 802.11a Wireless LAN Antenna Using Genetic Programming A Real World Application
This paper describes the application of genetic programming to synthesize a small form factor, 2 dimensional wire antenna for a 5.2 GHz 802.11a wireless LAN application. Utilizing ...
Rian Sanderson
AAAI
1996
13 years 8 months ago
Evolution-Based Discovery of Hierarchical Behaviors
Procedural representations of control policies have two advantages when facing the scale-up problem in learning tasks. First they are implicit, with potential for inductive genera...
Justinian P. Rosca, Dana H. Ballard
EUROGP
2008
Springer
137views Optimization» more  EUROGP 2008»
13 years 9 months ago
A Comparison of Cartesian Genetic Programming and Linear Genetic Programming
Two prominent genetic programming approaches are the graph-based Cartesian Genetic Programming (CGP) and Linear Genetic Programming (LGP). Recently, a formal algorithm for construc...
Garnett Carl Wilson, Wolfgang Banzhaf
GPEM
2006
97views more  GPEM 2006»
13 years 7 months ago
Evolving recursive programs by using adaptive grammar based genetic programming
Genetic programming (GP) extends traditional genetic algorithms to automatically induce computer programs. GP has been applied in a wide range of applications such as software ree...
Man Wong