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BMCBI
2005
98views more  BMCBI 2005»
13 years 8 months ago
InterferenceAnalyzer: Tools for the analysis and simulation of multi-locus genetic data
Background: Good statistical models for analyzing and simulating multilocus recombination data exist but are not accessible to many biologists because their use requires reasonabl...
Lalitha Viswanath, Elizabeth A. Housworth
GECCO
2003
Springer
123views Optimization» more  GECCO 2003»
14 years 2 months ago
Benefits of Implicit Redundant Genetic Algorithms for Structural Damage Detection in Noisy Environments
A robust structural damage detection method that can handle noisy frequency response function information is discussed. The inherent unstructured nature of damage detection problem...
Anne M. Raich, Tamás Liszkai
NC
1998
138views Neural Networks» more  NC 1998»
13 years 10 months ago
Parallel Adaptive Genetic Algorithm
In this paper we introduce an efficient implementation of asynchronously parallel genetic algorithm with adaptive genetic operators. The classic genetic algorithm paradigm is exte...
Leo Budin, Marin Golub, Domagoj Jakobovic
CISIM
2008
IEEE
14 years 3 months ago
Scheduling in Multiprocessor System Using Genetic Algorithms
Multiprocessors have emerged as a powerful computing means for running real-time applications, especially where a uniprocessor system would not be sufficient enough to execute all...
Keshav P. Dahal, M. Alamgir Hossain, Benny Varghes...
RTCSA
2007
IEEE
14 years 3 months ago
Fast Schedulability Analysis Using Commodity Graphics Hardware
In this paper we explore the possibility of using commodity graphics processing units (GPUs) to speedup standard schedulability analysis algorithms. Our long-term goal is to explo...
Jimin Feng, Samarjit Chakraborty, Bertil Schmidt, ...