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GECCO
2009
Springer
110views Optimization» more  GECCO 2009»
14 years 1 months ago
EMO shines a light on the holes of complexity space
Typical domains used in machine learning analyses only partially cover the complexity space, remaining a large proportion of problem difficulties that are not tested. Since the ac...
Núria Macià, Albert Orriols-Puig, Es...
CEC
2009
IEEE
14 years 3 months ago
The multiobjective evolutionary algorithm based on determined weight and sub-regional search
— By dividing the multiobjective optimization of the decision space into several small regions, this paper proposes multi-objective optimization algorithm based on sub-regional s...
Hai-lin Liu, Xueqiang Li
TPDS
1998
157views more  TPDS 1998»
13 years 8 months ago
A Compiler Optimization Algorithm for Shared-Memory Multiprocessors
This paper presents a new compiler optimization algorithm that parallelizes applications for symmetric, sharedmemory multiprocessors. The algorithm considers data locality, parall...
Kathryn S. McKinley
CIBCB
2007
IEEE
13 years 10 months ago
Optimization of Bacterial Strains with Variable-Sized Evolutionary Algorithms
—In metabolic engineering it is difficult to identify which set of genetic manipulations will result in a microbial strain that achieves a desired production goal, due to the co...
Miguel Rocha, José P. Pinto, Isabel Rocha, ...
ESWA
2007
146views more  ESWA 2007»
13 years 8 months ago
A real-valued genetic algorithm to optimize the parameters of support vector machine for predicting bankruptcy
Two parameters, C and r, must be carefully predetermined in establishing an efficient support vector machine (SVM) model. Therefore, the purpose of this study is to develop a gene...
Chih-Hung Wu, Gwo-Hshiung Tzeng, Yeong-Jia Goo, We...