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AUSAI
2001
Springer
13 years 11 months ago
A Memetic Pareto Evolutionary Approach to Artificial Neural Networks
Evolutionary Artificial Neural Networks (EANN) have been a focus of research in the areas of Evolutionary Algorithms (EA) and Artificial Neural Networks (ANN) for the last decade. ...
Hussein A. Abbass
TEC
2002
120views more  TEC 2002»
13 years 7 months ago
Optimization based on bacterial chemotaxis
We present an optimization algorithm based on a model of bacterial chemotaxis. The original biological model is used to formulate a simple optimization algorithm, which is evaluate...
Sibylle D. Müller, Jarno Marchetto, Stefano A...
INFOCOM
2011
IEEE
12 years 11 months ago
Optimal control of epidemic evolution
—Epidemic models based on nonlinear differential equations have been extensively applied in a variety of systems as diverse as infectious outbreaks, marketing, diffusion of belie...
M. H. R. Khouzani, Saswati Sarkar, Eitan Altman
TEC
2010
112views more  TEC 2010»
13 years 2 months ago
Population-Based Algorithm Portfolios for Numerical Optimization
In this paper, we consider the scenario that a population-based algorithm is applied to a numerical optimization problem and a solution needs to be presented within a given time bu...
Fei Peng, Ke Tang, Guoliang Chen, Xin Yao
MOBIHOC
2007
ACM
14 years 7 months ago
Allocating dynamic time-spectrum blocks in cognitive radio networks
A number of studies have shown the abundance of unused spectrum in the TV bands. This is in stark contrast to the overcrowding of wireless devices in the ISM bands. A recent trend...
Yuan Yuan, Paramvir Bahl, Ranveer Chandra, Thomas ...