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FOGA
1990
13 years 7 months ago
A Hierarchical Approach to Learning the Boolean Multiplexer Function
This paper describes the recently developed genetic programming paradigm which genetically breeds populations of computer programs to solve problems. In genetic programming, the i...
John R. Koza
EUROGP
2008
Springer
137views Optimization» more  EUROGP 2008»
13 years 7 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
JIKM
2006
136views more  JIKM 2006»
13 years 6 months ago
Decision Support Systems Using Ensemble Genetic Programming
Abstract. This paper proposes a decision support system for tactical air combat environment using a combination of unsupervised learning for clustering the data and an ensemble of ...
Ajith Abraham, Crina Grosan
GECCO
2003
Springer
148views Optimization» more  GECCO 2003»
13 years 11 months ago
Ant Colony Programming for Approximation Problems
Abstract. A method of automatic programming, called genetic programming, assumes that the desired program is found by using a genetic algorithm. We propose an idea of ant colony pr...
Mariusz Boryczka, Zbigniew J. Czech, Wojciech Wiec...
KES
2008
Springer
13 years 6 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