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» The Spatially-Dispersed Genetic Algorithm
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EC
2006
136views ECommerce» more  EC 2006»
15 years 3 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 3 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 3 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
APIN
2004
107views more  APIN 2004»
15 years 3 months ago
Designing Polymer Blends Using Neural Networks, Genetic Algorithms, and Markov Chains
In this paper we present a new technique to simulate polymer blends that overcomes the shortcomings in polymer system modeling. This method has an inherent advantage in that the v...
N. K. Roy, Walter D. Potter, D. P. Landau
GECCO
2005
Springer
232views Optimization» more  GECCO 2005»
15 years 9 months ago
A hardware pipeline for function optimization using genetic algorithms
Genetic Algorithms (GAs) are very commonly used as function optimizers, basically due to their search capability. A number of different serial and parallel versions of GA exist. ...
Malay Kumar Pakhira, Rajat K. De