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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...
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
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
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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...
VL
1992
IEEE
192views Visual Languages» more  VL 1992»
15 years 11 months ago
Graphic Object Layout with Interactive Genetic Algorithms
Automatic graphic objectlayout methods havelong been studied in many application areas in which graphic objects should be laid out to satisfy the constraints specific to each appl...
Toshiyuki Masui