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GECCO
2006
Springer
202views Optimization» more  GECCO 2006»
15 years 10 months ago
Evolving hash functions by means of genetic programming
The design of hash functions by means of evolutionary computation is a relatively new and unexplored problem. In this work, we use Genetic Programming (GP) to evolve robust and fa...
César Estébanez, Julio César ...
GECCO
2006
Springer
143views Optimization» more  GECCO 2006»
15 years 10 months ago
Hybrid search for cardinality constrained portfolio optimization
In this paper, we describe how a genetic algorithm approach added to a simulated annealing (SA) process offers a better alternative to find the mean variance frontier in the portf...
Miguel A. Gomez, Carmen X. Flores, Maria A. Osorio
GECCO
2006
Springer
144views Optimization» more  GECCO 2006»
15 years 10 months ago
On semi-supervised clustering via multiobjective optimization
Semi-supervised classification uses aspects of both unsupervised and supervised learning to improve upon the performance of traditional classification methods. Semi-supervised clu...
Julia Handl, Joshua D. Knowles
GECCO
2006
Springer
173views Optimization» more  GECCO 2006»
15 years 10 months ago
Ant colony optimization technique for equilibrium assignment in congested transportation networks
This paper deals with transport user equilibrium. A modified version of the ant colony system is proposed where the ant colony heuristic is adapted in order to take into account a...
Matteo Matteucci, Lorenzo Mussone
GECCO
2006
Springer
196views Optimization» more  GECCO 2006»
15 years 10 months ago
An anticipatory approach to improve XCSF
XCSF is a novel version of learning classifier systems (LCS) which extends the typical concept of LCS by introducing computable classifier prediction. In XCSF Classifier predictio...
Amin Nikanjam, Adel Torkaman Rahmani