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83
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NC
2006
132views Neural Networks» more  NC 2006»
14 years 10 months ago
Learning short multivariate time series models through evolutionary and sparse matrix computation
Multivariate Time Series (MTS) data are widely available in different fields including medicine, finance, bioinformatics, science and engineering. Modelling MTS data accurately is...
Stephen Swift, Joost N. Kok, Xiaohui Liu
TKDE
2008
105views more  TKDE 2008»
14 years 10 months ago
Evolutionary Optimization of File Assignment for a Large-Scale Video-on-Demand System
We present a genetic algorithm for tackling a file assignment problem for a large-scale video-on-demand system. The file assignment problem is to find the optimal replication and a...
Jun Guo, Yi Wang, Kit-Sang Tang, Sammy Chan, Eric ...
AIEDAM
2000
134views more  AIEDAM 2000»
14 years 10 months ago
Adaptive enlargement of state spaces in evolutionary designing
In designing a state space of possible designs is implied by the representation used and the computational processes that operate on that representation. GAs are a means of effect...
John S. Gero, Vladimir A. Kazakov
76
Voted
JUCS
2010
157views more  JUCS 2010»
14 years 8 months ago
Entropy Optimization of Social Networks Using an Evolutionary Algorithm
: Recent work on social networks has tackled the measurement and optimization of these networks’ robustness and resilience to both failures and attacks. Different metrics have be...
Maytham Safar, Nosayba El-Sayed, Khaled Mahdi, Dav...
SAC
2009
ACM
15 years 5 months ago
A gradient oriented recombination scheme for evolution strategies
This paper proposes a novel recombination scheme for evolutionary algorithms, which can guide the new population generation towards the maximum increase of the objective function....
Haifeng Chen, Guofei Jiang