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» The Spatially-Dispersed Genetic Algorithm
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ICIP
2010
IEEE
15 years 4 months ago
Learning simple texture discrimination filters
Current texture analysis methods enable good discrimination but are computationally too expensive for applications which require high frame rates. This occurs because they use red...
Rui F. C. Guerreiro, Pedro M. Q. Aguiar
GEM
2009
15 years 4 months ago
Evolutionary Methods in Self-organizing System Design
Self-organizing systems could serve as a solution for many technical problems where properties like robustness, scalability, and adaptability are required. However, despite all the...
Istvan Fehervari, Wilfried Elmenreich
JDCTA
2010
159views more  JDCTA 2010»
15 years 1 months ago
QSPR Study Of Mineral Crystal Lattice Energy Based On Gene Expression Programming
In this study, gene expression programming (GEP), a novel genetic algorithm, is used to develop quantitative model as potential screening mechanism for mineral crystal lattice ene...
Yuntao Zhang, Wenbin Dai, Zhengjun Cheng
ASPDAC
2011
ACM
227views Hardware» more  ASPDAC 2011»
14 years 10 months ago
Minimizing buffer requirements for throughput constrained parallel execution of synchronous dataflow graph
– This paper concerns throughput-constrained parallel execution of synchronous data flow graphs. This paper assumes static mapping and dynamic scheduling of nodes, which has seve...
Tae-ho Shin, Hyunok Oh, Soonhoi Ha
KBSE
2007
IEEE
16 years 26 days ago
Nighthawk: a two-level genetic-random unit test data generator
Randomized testing has been shown to be an effective method for testing software units. However, the thoroughness of randomized unit testing varies widely according to the settin...
James H. Andrews, Felix Chun Hang Li, Tim Menzies