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» Solving Hierarchical Optimization Problems Using MOEAs
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IPPS
1999
IEEE
15 years 5 months ago
Mapping Media Streams onto a Network of Servers
This paper presents the definition as well as a number of methods for the solution of a new combinatorial optimization problem, called S-MAMP that has to be solved for the efficie...
Reinhard Lüling
GECCO
2006
Springer
212views Optimization» more  GECCO 2006»
15 years 4 months ago
Non-wrapping order crossover: an order preserving crossover operator that respects absolute position
In this paper, we introduce a new crossover operator for the permutation representation of a GA. This new operator-Non-Wrapping Order Crossover (NWOX)--is a variation of the well-...
Vincent A. Cicirello
137
Voted
CORR
2012
Springer
232views Education» more  CORR 2012»
13 years 8 months ago
Smoothing Proximal Gradient Method for General Structured Sparse Learning
We study the problem of learning high dimensional regression models regularized by a structured-sparsity-inducing penalty that encodes prior structural information on either input...
Xi Chen, Qihang Lin, Seyoung Kim, Jaime G. Carbone...
SDM
2012
SIAM
273views Data Mining» more  SDM 2012»
13 years 3 months ago
A Framework for the Evaluation and Management of Network Centrality
Network-analysis literature is rich in node-centrality measures that quantify the centrality of a node as a function of the (shortest) paths of the network that go through it. Exi...
Vatche Ishakian, Dóra Erdös, Evimaria ...
GECCO
2006
Springer
447views Optimization» more  GECCO 2006»
15 years 4 months ago
Candlestick stock analysis with genetic algorithms
Candlestick analysis, a form of stock market technical analysis, is well suited for use with a genetic search algorithm. This paper explores an implementation of marrying these tw...
Peter Belford