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» Parallelism and evolutionary algorithms
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137
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GECCO
2008
Springer
184views Optimization» more  GECCO 2008»
15 years 4 months ago
Evolutionary facial feature selection
With the growing number of acquired physiological and behavioral biometric samples, biometric data sets are experiencing tremendous growth. As database sizes increase, exhaustive ...
Aaron K. Baughman
150
Voted
GECCO
2008
Springer
177views Optimization» more  GECCO 2008»
15 years 4 months ago
Reduced computation for evolutionary optimization in noisy environment
Evolutionary Algorithms’ (EAs’) application to real world optimization problems often involves expensive fitness function evaluation. Naturally this has a crippling effect on ...
Maumita Bhattacharya
149
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GECCO
2000
Springer
113views Optimization» more  GECCO 2000»
15 years 7 months ago
The Effects of Locality on the Dynamics of Decoder-Based Evolutionary Search
The success of decoder-based evolutionary algorithms (EAs) strongly depends on the achieved locality of operators and decoders. Most approaches to investigate locality properties ...
Jens Gottlieb, Günther R. Raidl
149
Voted
GECCO
2009
Springer
204views Optimization» more  GECCO 2009»
15 years 8 months ago
Combined structure and motion extraction from visual data using evolutionary active learning
We present a novel stereo vision modeling framework that generates approximate, yet physically-plausible representations of objects rather than creating accurate models that are c...
Krishnanand N. Kaipa, Josh C. Bongard, Andrew N. M...
163
Voted
MIDDLEWARE
2007
Springer
15 years 9 months ago
Domain-based context management for dynamic and evolutionary environments
Research in context-aware computing has produced a number of application prototypes, frameworks, middlewares and models for describing context. However, development of ubiquitous ...
Ricardo Couto Antunes da Rocha, Markus Endler