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» Evolving heuristics with genetic programming
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GECCO
2006
Springer
262views Optimization» more  GECCO 2006»
14 years 1 months ago
Genetically programmed strategies for chess endgame
Classical chess engines exhaustively explore moving possibilities from a chessboard configuration to choose what the next best move to play is. In this article we present a new me...
Nicolas Lassabe, Stéphane Sanchez, Herv&eac...
EUROGP
2000
Springer
115views Optimization» more  EUROGP 2000»
14 years 1 months ago
Evolution of a Controller with a Free Variable Using Genetic Programming
A mathematical formula containing one or more free variables is "general" in the sense that it provides a solution to an entire category of problems. For example, the fa...
John R. Koza, Jessen Yu, Martin A. Keane, William ...
EUROGP
2010
Springer
160views Optimization» more  EUROGP 2010»
13 years 11 months ago
Improving the Generalisation Ability of Genetic Programming with Semantic Similarity based Crossover
This paper examines the impact of semantic control on the ability of Genetic Programming (GP) to generalise via a semantic based crossover operator (Semantic Similarity based Cross...
Nguyen Quang Uy, Nguyen Thi Hien, Nguyen Xuan Hoai...
GECCO
2010
Springer
218views Optimization» more  GECCO 2010»
14 years 2 months ago
Cartesian genetic programming
This paper presents a new form of Genetic Programming called Cartesian Genetic Programming in which a program is represented as an indexed graph. The graph is encoded in the form o...
Julian Francis Miller, Simon L. Harding
GECCO
2006
Springer
139views Optimization» more  GECCO 2006»
14 years 1 months ago
Genetic programming: optimal population sizes for varying complexity problems
The population size in evolutionary computation is a significant parameter affecting computational effort and the ability to successfully evolve solutions. We find that population...
Alan Piszcz, Terence Soule