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» On the practical genetic algorithms
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IJCAI
1989
15 years 7 months ago
Training Feedforward Neural Networks Using Genetic Algorithms
Multilayered feedforward neural networks possess a number of properties which make them particularly suited to complex pattern classification problems. However, their application ...
David J. Montana, Lawrence Davis
APIN
2007
118views more  APIN 2007»
15 years 6 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...
EC
2006
136views ECommerce» more  EC 2006»
15 years 6 months ago
Error Thresholds in Genetic Algorithms
The error threshold of replication is an important notion of the quasispecies evolution model; it is a critical mutation rate (error rate) beyond which structures obtained by an e...
Gabriela Ochoa
CN
2007
221views more  CN 2007»
15 years 6 months ago
Adaptive design optimization of wireless sensor networks using genetic algorithms
We present a multi-objective optimization methodology for self-organizing, adaptive wireless sensor network design and energy management, taking into consideration application-spe...
Konstantinos P. Ferentinos, Theodore A. Tsiligirid...
BMCBI
2005
102views more  BMCBI 2005»
15 years 6 months ago
Genomic multiple sequence alignments: refinement using a genetic algorithm
Background: Genomic sequence data cannot be fully appreciated in isolation. Comparative genomics
Chunlin Wang, Elliot J. Lefkowitz