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GECCO
2006
Springer
262views Optimization» more  GECCO 2006»
15 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...
ICSOC
2009
Springer
14 years 7 months ago
A Genetic Algorithms-Based Approach for Optimized Self-protection in a Pervasive Service Middleware
With increasingly complex and heterogeneous systems in pervasive service computing, it becomes more and more important to provide self-protected services to end users. In order to ...
Weishan Zhang, Julian Schütte, Mads Ingstrup,...
GECCO
2010
Springer
158views Optimization» more  GECCO 2010»
15 years 28 days ago
Efficiently evolving programs through the search for novelty
A significant challenge in genetic programming is premature convergence to local optima, which often prevents evolution from solving problems. This paper introduces to genetic pro...
Joel Lehman, Kenneth O. Stanley
71
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GECCO
2005
Springer
177views Optimization» more  GECCO 2005»
15 years 3 months ago
Evolving next generation signal compression and reconstruction transforms via genetic algorithms
Ongoing research has established a new methodology for using genetic algorithms [2] to evolve forward and inverse transforms that significantly reduce quantization error in recons...
Frank W. Moore, Patrick Marshall