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GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
15 years 9 months ago
Solving the MAXSAT problem using a multivariate EDA based on Markov networks
Markov Networks (also known as Markov Random Fields) have been proposed as a new approach to probabilistic modelling in Estimation of Distribution Algorithms (EDAs). An EDA employ...
Alexander E. I. Brownlee, John A. W. McCall, Deryc...
153
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PPSN
2004
Springer
15 years 8 months ago
A Neuroevolutionary Approach to Emergent Task Decomposition
A scalable architecture to facilitate emergent (self-organized) task decomposition using neural networks and evolutionary algorithms is presented. Various control system architectu...
Jekanthan Thangavelautham, Gabriele M. T. D'Eleute...
SOCO
2010
Springer
14 years 10 months ago
Designing multilayer perceptrons using a Guided Saw-tooth Evolutionary Programming Algorithm
In this paper, a diversity generating mechanism is proposed for an Evolutionary Programming (EP) algorithm that determines the basic structure of Multilayer Perceptron classifiers ...
Pedro Antonio Gutiérrez, César Herv&...
INFOCOM
2008
IEEE
15 years 9 months ago
Approximation Algorithms for Computing Capacity of Wireless Networks with SINR Constraints
—A fundamental problem in wireless networks is to estimate its throughput capacity - given a set of wireless nodes, and a set of connections, what is the maximum rate at which da...
Deepti Chafekar, V. S. Anil Kumar, Madhav V. Marat...
CCR
2006
110views more  CCR 2006»
15 years 3 months ago
Estimating network proximity and latency
Network proximity and latency estimation is an important component in discovering and locating services and applications. With the growing number of services and service providers...
Puneet Sharma, Zhichen Xu, Sujata Banerjee, Sung-J...