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» Fitness Clouds and Problem Hardness in Genetic Programming
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EOR
2006
134views more  EOR 2006»
13 years 7 months ago
A smoothing heuristic for a bilevel pricing problem
In this paper, we provide a heuristic procedure, that performs well from a global optimality point of view, for an important and difficult class of bilevel programs. The algorithm...
Jean-Pierre Dussault, Patrice Marcotte, Séb...
CP
2009
Springer
14 years 8 months ago
A Gender-Based Genetic Algorithm for the Automatic Configuration of Algorithms
A problem that is inherent to the development and efficient use of solvers is that of tuning parameters. The CP community has a long history of addressing this task automatically. ...
Carlos Ansótegui, Kevin Tierney, Meinolf Se...
GPEM
2011
13 years 2 months ago
Expert-driven genetic algorithms for simulating evaluation functions
In this paper we demonstrate how genetic algorithms can be used to reverse engineer an evaluation function’s parameters for computer chess. Our results show that using an appropr...
Omid David-Tabibi, Moshe Koppel, Nathan S. Netanya...
GECCO
2005
Springer
145views Optimization» more  GECCO 2005»
14 years 1 months ago
Evolving an ecology of two-tiered organizations
Evolutionary models typically rely on a single level of evolution for training a team of cooperating agents. I present a model that evolves at two levels—an “organizational”...
Travis Kriplean
GECCO
2008
Springer
143views Optimization» more  GECCO 2008»
13 years 8 months ago
Genetic algorithms for mentor-assisted evaluation function optimization
In this paper we demonstrate how genetic algorithms can be used to reverse engineer an evaluation function’s parameters for computer chess. Our results show that using an approp...
Omid David-Tabibi, Moshe Koppel, Nathan S. Netanya...