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GECCO
2006
Springer
214views Optimization» more  GECCO 2006»
15 years 10 months ago
A new discrete particle swarm algorithm applied to attribute selection in a bioinformatics data set
Many data mining applications involve the task of building a model for predictive classification. The goal of such a model is to classify examples (records or data instances) into...
Elon S. Correa, Alex Alves Freitas, Colin G. Johns...
GECCO
2010
Springer
174views Optimization» more  GECCO 2010»
15 years 9 months ago
Real-coded genetic algorithm benchmarked on noiseless black-box optimization testbed
Genetic algorithms—a class of stochastic population-based optimization techniques—have been widely realized as the effective tools to solve complicated optimization problems ...
Thanh-Do Tran, Gang-Gyoo Jin
185
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CIKM
2009
Springer
16 years 1 months ago
A general magnitude-preserving boosting algorithm for search ranking
Traditional boosting algorithms for the ranking problems usually employ the pairwise approach and convert the document rating preference into a binary-value label, like RankBoost....
Chenguang Zhu, Weizhu Chen, Zeyuan Allen Zhu, Gang...
ATAL
2007
Springer
16 years 18 days ago
Multi-task overlapping coalition parallel formation algorithm
The issue of coalition formation has been investigated from many aspects, but until recently little attention has been paid to overlapping coalition formation. What’s more, an a...
Chao-Feng Lin, Shan-Li Hu
GECCO
2005
Springer
132views Optimization» more  GECCO 2005»
15 years 12 months ago
Greedy, genetic, and greedy genetic algorithms for the quadratic knapsack problem
Augmenting an evolutionary algorithm with knowledge of its target problem can yield a more effective algorithm, as this presentation illustrates. The Quadratic Knapsack Problem e...
Bryant A. Julstrom