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» Removing the Genetics from the Standard Genetic Algorithm
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JCIT
2010
162views more  JCIT 2010»
13 years 3 months ago
Traffic Prediction Based on Improved Neural Network
Artificial neural networks and genetic algorithms derived from the corresponding simulation of biology, anatomy. The paper analyzes the advantages and the disadvantages of the art...
Jian-ming Cui
JIRS
2006
128views more  JIRS 2006»
13 years 8 months ago
A Modified Particle Filter for Simultaneous Localization and Mapping
The implementation of a particle filter (PF) for vision-based bearing-only simultaneous localization and mapping (SLAM) of a mobile robot in an unstructured indoor environment is p...
N. M. Kwok, A. B. Rad
AAAI
1998
13 years 10 months ago
Optimal 2D Model Matching Using a Messy Genetic Algorithm
A Messy Genetic Algorithm is customized toflnd'optimal many-to-many matches for 2D line segment models. The Messy GA is a variant upon the Standard Genetic Algorithm in which...
J. Ross Beveridge
ISDA
2005
IEEE
14 years 2 months ago
Hybrid Fuzzy-Genetic Algorithm Approach for Crew Grouping
Crew grouping is an important problem and formulating a good solution always involves many challenges. For example, grouping soldiers intelligently to tank combat units, we should...
Hongbo Liu, Zhanguo Xu, Ajith Abraham
GECCO
2005
Springer
209views Optimization» more  GECCO 2005»
14 years 2 months ago
Genetic algorithm optimization of superresolution parameters
Superresolution is the process of producing a high resolution image from a collection of low resolution images. This process has potential application in a wide spectrum of fields...
Barry Ahrens