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GECCO
2009
Springer
126views Optimization» more  GECCO 2009»
15 years 11 months ago
Improving NSGA-II with an adaptive mutation operator
The performance of a Multiobjective Evolutionary Algorithm (MOEA) is crucially dependent on the parameter setting of the operators. The most desired control of such parameters pre...
Arthur Gonçalves Carvalho, Aluizio F. R. Ar...
FGCS
2006
82views more  FGCS 2006»
15 years 6 months ago
PGGA: A predictable and grouped genetic algorithm for job scheduling
This paper presents a predictable and grouped genetic algorithm (PGGA) for job scheduling. The novelty of the PGGA is twofold: (1) a job workload estimati...
Maozhen Li, Bin Yu, Man Qi
DATE
2010
IEEE
163views Hardware» more  DATE 2010»
15 years 10 months ago
Enhanced Q-learning algorithm for dynamic power management with performance constraint
- This paper presents a novel power management techniques based on enhanced Q-learning algorithms. By exploiting the submodularity and monotonic structure in the cost function of a...
Wei Liu, Ying Tan, Qinru Qiu
IDEAL
2009
Springer
15 years 4 months ago
Optimizing Data Transformations for Classification Tasks
Many classification algorithms use the concept of distance or similarity between patterns. Previous work has shown that it is advantageous to optimize general Euclidean distances (...
José María Valls, Ricardo Aler
SIGMOD
2010
ACM
196views Database» more  SIGMOD 2010»
15 years 6 months ago
GAIA: graph classification using evolutionary computation
Discriminative subgraphs are widely used to define the feature space for graph classification in large graph databases. Several scalable approaches have been proposed to mine disc...
Ning Jin, Calvin Young, Wei Wang