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178
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PR
1998
86views more  PR 1998»
15 years 6 months ago
Optimizing the cost matrix for approximate string matching using genetic algorithms
This paper describes a method for optimizing the cost matrix of any approximate string matching algorithm based on the Levenshtein distance. The method, which uses genetic algorit...
Marc Parizeau, Nadia Ghazzali, Jean-Françoi...
185
Voted
JDCTA
2010
186views more  JDCTA 2010»
15 years 1 months ago
A Positioning Method in Wireless Sensor Networks Using Genetic Algorithms
The recent area of Wireless Sensor Networks (WSNs) has brought new challenges to developers of net-work protocols. Energy consumption and network coverage are two important challe...
Mojtaba Romoozi, Hossein Ebrahimpour-Komleh
197
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PAMI
2006
134views more  PAMI 2006»
15 years 6 months ago
A Genetic Algorithm Using Hyper-Quadtrees for Low-Dimensional K-means Clustering
The k-means algorithm is widely used for clustering because of its computational efficiency. Given n points in d-dimensional space and the number of desired clusters k, k-means see...
Michael Laszlo, Sumitra Mukherjee
187
Voted
GECCO
2006
Springer
150views Optimization» more  GECCO 2006»
15 years 10 months ago
Nonlinear parametric regression in genetic programming
Genetic programming has been considered a promising approach for function approximation since it is possible to optimize both the functional form and the coefficients. However, it...
Yung-Keun Kwon, Sung-Soon Choi, Byung Ro Moon
155
Voted
GECCO
2007
Springer
157views Optimization» more  GECCO 2007»
16 years 1 months ago
A doubly distributed genetic algorithm for network coding
We present a genetic algorithm which is distributed in two novel ways: along genotype and temporal axes. Our algorithm first distributes, for every member of the population, a su...
Minkyu Kim, Varun Aggarwal, Una-May O'Reilly, Muri...