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» PGAC: A Parallel Genetic Algorithm for Data Clustering
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APIN
2007
118views more  APIN 2007»
13 years 9 months ago
Using genetic algorithms to reorganize superpeer structure in peer to peer networks
In this thesis, we describe a genetic algorithm for optimizing the superpeer structure of semantic peer to peer networks. Peer to peer, also called P2P, networks enable us to sear...
Jaymin Kessler, Khaled Rasheed, Ismailcem Budak Ar...
PRICAI
2004
Springer
14 years 2 months ago
Constrained Ant Colony Optimization for Data Clustering
Processes that simulate natural phenomena have successfully been applied to a number of problems for which no simple mathematical solution is known or is practicable. Such meta-heu...
Shu-Chuan Chu, John F. Roddick, Che-Jen Su, Jeng-S...
IPPS
2003
IEEE
14 years 2 months ago
Task Pool Teams for Implementing Irregular Algorithms on Clusters of SMPs
The characteristics of irregular algorithms make a parallel implementation difficult, especially for PC clusters or clusters of SMPs. These characteristics may include an unpredi...
Judith Hippold, Gudula Rünger
ASPDAC
2011
ACM
227views Hardware» more  ASPDAC 2011»
13 years 18 days ago
Minimizing buffer requirements for throughput constrained parallel execution of synchronous dataflow graph
– This paper concerns throughput-constrained parallel execution of synchronous data flow graphs. This paper assumes static mapping and dynamic scheduling of nodes, which has seve...
Tae-ho Shin, Hyunok Oh, Soonhoi Ha
EC
2010
176views ECommerce» more  EC 2010»
13 years 6 months ago
Learning Factorizations in Estimation of Distribution Algorithms Using Affinity Propagation
Estimation of distribution algorithms (EDAs) that use marginal product model factorizations have been widely applied to a broad range of, mainly binary, optimization problems. In ...
Roberto Santana, Pedro Larrañaga, Jos&eacut...