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GECCO
2006
Springer
262views Optimization» more  GECCO 2006»
13 years 11 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»
13 years 11 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 9 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...
EC
2006
120views ECommerce» more  EC 2006»
13 years 7 months ago
A Comparison of Bloat Control Methods for Genetic Programming
Genetic programming has highlighted the problem of bloat, the uncontrolled growth of the average size of an individual in the population. The most common approach to dealing with ...
Sean Luke, Liviu Panait
IPPS
2008
IEEE
14 years 2 months ago
A genetic programming approach to solve scheduling problems with parallel simulation
—Scheduling and dispatching are two ways of solving production planning problems. In this work, based on preceding works, it is explained how these two approaches can be combined...
Andreas Beham, Stephan M. Winkler, Stefan Wagner 0...