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GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
15 years 10 months ago
Credit assignment in adaptive evolutionary algorithms
In this paper, a new method for assigning credit to search operators is presented. Starting with the principle of optimizing search bias, search operators are selected based on an...
James M. Whitacre, Q. Tuan Pham, Ruhul A. Sarker
SIAMJO
2008
109views more  SIAMJO 2008»
15 years 6 months ago
A Regularized Smoothing Newton Method for Symmetric Cone Complementarity Problems
This paper extends the regularized smoothing Newton method in vector optimization to symmetric cone optimization, which provide a unified framework for dealing with the nonlinear ...
Lingchen Kong, Jie Sun, Naihua Xiu
CVPR
2009
IEEE
16 years 1 months ago
Resolution-Invariant Image Representation and its applications
We present a Resolution-Invariant Image Representation (RIIR) framework in this paper. The RIIR framework includes the methods of building a set of multi-resolution bases from tra...
Jinjun Wang, Shenghuo Zhu, Yihong Gong
GECCO
2010
Springer
157views Optimization» more  GECCO 2010»
15 years 10 months ago
Speeding up the evaluation of evolutionary learning systems using GPGPUs
In this paper we introduce a method for computing fitness in evolutionary learning systems based on NVIDIA’s massive parallel technology using the CUDA library. Both the match ...
María A. Franco, Natalio Krasnogor, Jaume B...
JGAA
2007
135views more  JGAA 2007»
15 years 6 months ago
Challenging Complexity of Maximum Common Subgraph Detection Algorithms: A Performance Analysis of Three Algorithms on a Wide Dat
Graphs are an extremely general and powerful data structure. In pattern recognition and computer vision, graphs are used to represent patterns to be recognized or classified. Det...
Donatello Conte, Pasquale Foggia, Mario Vento