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TEC
2002
133views more  TEC 2002»
14 years 11 months ago
Learning and optimization using the clonal selection principle
The clonal selection principle is used to explain the basic features of an adaptive immune response to an antigenic stimulus. It establishes the idea that only those cells that rec...
Leandro Nunes de Castro, Fernando J. Von Zuben
MVA
2007
105views Computer Vision» more  MVA 2007»
15 years 1 months ago
Identifying Hand Gesture Images by Using Genetic Algorithms
A genetic algorithm (GA) is an optimization algorithm that simulates the hereditary phenomenon of natural life. Although GA has been applied to image processing, it has not been s...
Tetsuji Kobayashi, Norifumi Machida
EOR
2007
100views more  EOR 2007»
14 years 11 months ago
Parallel radial basis function methods for the global optimization of expensive functions
We introduce a master–worker framework for parallel global optimization of computationally expensive functions using response surface models. In particular, we parallelize two r...
Rommel G. Regis, Christine A. Shoemaker
GECCO
2007
Springer
184views Optimization» more  GECCO 2007»
15 years 3 months ago
Evolving kernels for support vector machine classification
While support vector machines (SVMs) have shown great promise in supervised classification problems, researchers have had to rely on expert domain knowledge when choosing the SVM&...
Keith Sullivan, Sean Luke
CEC
2008
IEEE
15 years 6 months ago
A Fast Bacterial Swarming Algorithm for high-dimensional function optimization
—A novel Fast Bacterial Swarming Algorithm (FBSA) for high-dimensional function optimization is presented in this paper. The proposed algorithm combines the foraging mechanism of...
Ying Chu, Hua Mi, Huilian Liao, Zhen Ji, Q. H. Wu