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CEC
2008
IEEE
13 years 7 months ago
Multilevel cooperative coevolution for large scale optimization
In this paper, we propose a multilevel cooperative coevolution (MLCC) framework for large scale optimization problems. The motivation is to improve our previous work on grouping ba...
Zhenyu Yang, Ke Tang, Xin Yao
TOPLAS
1998
133views more  TOPLAS 1998»
13 years 5 months ago
A Systematic Study of Functional Language Implementations
Abstract: We introduce a unified framework to describe, relate, compare and classify functional language implementations. The compilation process is expressed as a succession of p...
Rémi Douence, Pascal Fradet
ECCV
2010
Springer
13 years 6 months ago
Fast Optimization for Mixture Prior Models
Abstract. We consider the minimization of a smooth convex function regularized by the mixture of prior models. This problem is generally difficult to solve even each simpler regula...
Junzhou Huang, Shaoting Zhang, Dimitris N. Metaxas
ANOR
2010
135views more  ANOR 2010»
13 years 5 months ago
A framework of irregularity enlightenment for data pre-processing in data mining
Abstract Irregularities are widespread in large databases and often lead to erroneous conclusions with respect to data mining and statistical analysis. For example, considerable bi...
Siu-Tong Au, Rong Duan, Siamak G. Hesar, Wei Jiang
ISCI
2008
159views more  ISCI 2008»
13 years 5 months ago
Large scale evolutionary optimization using cooperative coevolution
Evolutionary algorithms (EAs) have been applied with success to many numerical and combinatorial optimization problems in recent years. However, they often lose their effectivenes...
Zhenyu Yang, Ke Tang, Xin Yao