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» Evolutionary algorithms and matroid optimization problems
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GECCO
2005
Springer
147views Optimization» more  GECCO 2005»
14 years 1 months ago
Unbiased tournament selection
Tournament selection is a popular form of selection which is commonly used with genetic algorithms, genetic programming and evolutionary programming. However, tournament selection...
Artem Sokolov, Darrell Whitley
GECCO
2007
Springer
156views Optimization» more  GECCO 2007»
14 years 1 months ago
Techniques for highly multiobjective optimisation: some nondominated points are better than others
The research area of evolutionary multiobjective optimization (EMO) is reaching better understandings of the properties and capabilities of EMO algorithms, and accumulating much e...
David W. Corne, Joshua D. Knowles
GECCO
2005
Springer
131views Optimization» more  GECCO 2005»
14 years 1 months ago
EA models and population fixed-points versus mutation rates for functions of unitation
Using a dynamic systems model for the Simple Genetic Algorithm due to Vose[1], we analyze the fixed point behavior of the model without crossover applied to functions of unitation...
J. Neal Richter, John Paxton, Alden H. Wright
EC
2006
195views ECommerce» more  EC 2006»
13 years 7 months ago
Automated Global Structure Extraction for Effective Local Building Block Processing in XCS
Learning Classifier Systems (LCSs), such as the accuracy-based XCS, evolve distributed problem solutions represented by a population of rules. During evolution, features are speci...
Martin V. Butz, Martin Pelikan, Xavier Llorà...
GECCO
2005
Springer
144views Optimization» more  GECCO 2005»
14 years 1 months ago
Multiobjective hBOA, clustering, and scalability
This paper describes a scalable algorithm for solving multiobjective decomposable problems by combining the hierarchical Bayesian optimization algorithm (hBOA) with the nondominat...
Martin Pelikan, Kumara Sastry, David E. Goldberg