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GECCO
2008
Springer
186views Optimization» more  GECCO 2008»
13 years 9 months ago
A pareto following variation operator for fast-converging multiobjective evolutionary algorithms
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder, Michael Kirley, Ra...
CEC
2008
IEEE
14 years 2 months ago
Auto-tuning fuzzy granulation for evolutionary optimization
—Much of the computational complexity in employing evolutionary algorithms as optimization tool is due to the fitness function evaluation that may either not exist or be computat...
Mohsen Davarynejad, Mohammad R. Akbarzadeh-Totonch...
CVPR
2010
IEEE
1413views Computer Vision» more  CVPR 2010»
14 years 4 months ago
Free-Shape Subwindow Search for Object Localization
Object localization in an image is usually handled by searching for an optimal subwindow that tightly covers the object of interest. However, the subwindows considered in previous ...
Zhiqi Zhang, Yu Cao, Dhaval Salvi, Kenton Oliver, ...
WWW
2011
ACM
13 years 2 months ago
A self-training approach for resolving object coreference on the semantic web
An object on the Semantic Web is likely to be denoted with multiple URIs by different parties. Object coreference resolution is to identify “equivalent” URIs that denote the ...
Wei Hu, Jianfeng Chen, Yuzhong Qu
GECCO
2006
Springer
148views Optimization» more  GECCO 2006»
13 years 11 months ago
A specification-based fitness function for evolutionary testing of object-oriented programs
Encapsulation of states in object-oriented programs hinders the search for test data using evolutionary testing. As client code is oblivious to the internal state of a server obje...
Yoonsik Cheon, Myoung Kim