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» An analysis of massively distributed evolutionary algorithms
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MDM
2001
Springer
138views Communications» more  MDM 2001»
13 years 11 months ago
Operating System and Algorithmic Techniques for Energy Scalable Wireless Sensor Networks
An system-level power management technique for massively distributed wireless microsensor networks is proposed. A power aware sensor node model is introduced which enables the embe...
Amit Sinha, Anantha Chandrakasan
PAMI
1998
103views more  PAMI 1998»
13 years 6 months ago
Synchronous Random Fields and Image Restoration
—We propose a general synchronous model of lattice random fields which could be used similarly to Gibbs distributions in a Bayesian framework for image analysis, leading to algor...
Laurent Younes
GECCO
2008
Springer
257views Optimization» more  GECCO 2008»
13 years 7 months ago
Rapid evaluation and evolution of neural models using graphics card hardware
This paper compares three common evolutionary algorithms and our modified GA, a Distributed Adaptive Genetic Algorithm (DAGA). The optimal approach is sought to adapt, in near rea...
Thomas F. Clayton, Leena N. Patel, Gareth Leng, Al...
TPDS
1998
112views more  TPDS 1998»
13 years 6 months ago
Parallel Computation in Biological Sequence Analysis
—A massive volume of biological sequence data is available in over 36 different databases worldwide, including the sequence data generated by the Human Genome project. These data...
Tieng K. Yap, Ophir Frieder, Robert L. Martino
GECCO
2008
Springer
147views Optimization» more  GECCO 2008»
13 years 7 months ago
On selecting the best individual in noisy environments
In evolutionary algorithms, the typical post-processing phase involves selection of the best-of-run individual, which becomes the final outcome of the evolutionary run. Trivial f...
Wojciech Jaskowski, Wojciech Kotlowski