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GECCO
2004
Springer
145views Optimization» more  GECCO 2004»
14 years 1 months ago
An Estimation of Distribution Algorithm Based on Maximum Entropy
Estimation of distribution algorithms (EDA) are similar to genetic algorithms except that they replace crossover and mutation with sampling from an estimated probability distributi...
Alden H. Wright, Riccardo Poli, Christopher R. Ste...
GECCO
2007
Springer
151views Optimization» more  GECCO 2007»
14 years 2 months ago
A building-block royal road where crossover is provably essential
One of the most controversial yet enduring hypotheses about what genetic algorithms (GAs) are good for concerns the idea that GAs process building-blocks. More specifically, it ha...
Richard A. Watson, Thomas Jansen
GECCO
2003
Springer
109views Optimization» more  GECCO 2003»
14 years 1 months ago
Real Royal Road Functions for Constant Population Size
Evolutionary and genetic algorithms (EAs and GAs) are quite successful randomized function optimizers. This success is mainly based on the interaction of different operators like ...
Tobias Storch, Ingo Wegener
GECCO
2004
Springer
104views Optimization» more  GECCO 2004»
14 years 1 months ago
Optimization of Constructive Solid Geometry Via a Tree-Based Multi-objective Genetic Algorithm
This paper presents the multi-objective evolutionary optimization of three-dimensional geometry represented via constructive solid geometry (CSG), a binary tree of boolean operatio...
Karim Hamza, Kazuhiro Saitou
GECCO
2004
Springer
124views Optimization» more  GECCO 2004»
14 years 1 months ago
A Statistical Model of GA Dynamics for the OneMax Problem
A model of the dynamics of solving the counting-ones (OneMax) problem using a simple genetic algorithm (GA) is developed. It uses statistics of the early generations of GA runs to ...
Bulent Buyukbozkirli, Erik D. Goodman