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140
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TEC
2008
135views more  TEC 2008»
15 years 1 months ago
Evolving Output Codes for Multiclass Problems
In this paper, we propose an evolutionary approach to the design of output codes for multiclass pattern recognition problems. This approach has the advantage of taking into account...
Nicolás García-Pedrajas, Colin Fyfe
FGCS
2010
119views more  FGCS 2010»
15 years 12 days ago
Characterizing fault tolerance in genetic programming
Evolutionary Algorithms, including Genetic Programming (GP), are frequently employed to solve difficult real-life problems, which can require up to days or months of computation. ...
Daniel Lombraña Gonzalez, Francisco Fern&aa...
125
Voted
PPSN
2010
Springer
15 years 7 days ago
Tight Bounds for the Approximation Ratio of the Hypervolume Indicator
The hypervolume indicator is widely used to guide the search and to evaluate the performance of evolutionary multi-objective optimization algorithms. It measures the volume of the ...
Karl Bringmann, Tobias Friedrich
119
Voted
TCS
2010
15 years 6 days ago
Runtime analysis of a binary particle swarm optimizer
We investigate the runtime of a Binary Particle Swarm Optimizer (PSO) for optimizing pseudo-Boolean functions f : {0, 1}n → R. The Binary PSO maintains a swarm of particles sear...
Dirk Sudholt, Carsten Witt
124
Voted
WCRE
2010
IEEE
15 years 6 days ago
Understanding Feature Evolution in a Family of Product Variants
Existing software product variants, developed by ad hoc reuse such as copy-paste-modify, are often a starting point for building Software Product Line (SPL). Understanding of how ...
Yinxing Xue, Zhenchang Xing, Stan Jarzabek