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GECCO
2007
Springer
183views Optimization» more  GECCO 2007»
16 years 25 days ago
Another investigation on tournament selection: modelling and visualisation
Tournament selection has been widely used and studied in evolutionary algorithms. To supplement the study of tournament selection, this paper provides several models describing th...
Huayang Xie, Mengjie Zhang, Peter Andreae
GECCO
2007
Springer
183views Optimization» more  GECCO 2007»
16 years 25 days ago
Genetic programming for cross-task knowledge sharing
We consider multitask learning of visual concepts within genetic programming (GP) framework. The proposed method evolves a population of GP individuals, with each of them composed...
Wojciech Jaskowski, Krzysztof Krawiec, Bartosz Wie...
GECCO
2007
Springer
151views Optimization» more  GECCO 2007»
16 years 25 days 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
2007
Springer
156views Optimization» more  GECCO 2007»
16 years 25 days 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
175
Voted
GECCO
2007
Springer
190views Optimization» more  GECCO 2007»
16 years 25 days ago
Analysis of evolutionary algorithms for the longest common subsequence problem
In the longest common subsequence problem the task is to find the longest sequence of letters that can be found as subsequence in all members of a given finite set of sequences....
Thomas Jansen, Dennis Weyland