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GECCO
2008
Springer
186views Optimization» more  GECCO 2008»
15 years 7 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...
GECCO
2008
Springer
239views Optimization» more  GECCO 2008»
15 years 7 months ago
Multiobjective design of operators that detect points of interest in images
In this paper, a multiobjective (MO) learning approach to image feature extraction is described, where Pareto-optimal interest point (IP) detectors are synthesized using genetic p...
Leonardo Trujillo, Gustavo Olague, Evelyne Lutton,...
GECCO
2008
Springer
175views Optimization» more  GECCO 2008»
15 years 7 months ago
Using differential evolution for symbolic regression and numerical constant creation
One problem that has plagued Genetic Programming (GP) and its derivatives is numerical constant creation. Given a mathematical formula expressed as a tree structure, the leaf node...
Brian M. Cerny, Peter C. Nelson, Chi Zhou
ICFP
2010
ACM
15 years 7 months ago
Bidirectionalizing graph transformations
Bidirectional transformations provide a novel mechanism for synchronizing and maintaining the consistency of information between input and output. Despite many promising results o...
Soichiro Hidaka, Zhenjiang Hu, Kazuhiro Inaba, Hir...
CHI
2010
ACM
15 years 7 months ago
How routine learners can support family coordination
Researchers have detailed the importance of routines in how people live and work, while also cautioning system designers about the importance of people's idiosyncratic behavi...
Scott Davidoff, John Zimmerman, Anind K. Dey
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