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GECCO
2005
Springer
232views Optimization» more  GECCO 2005»
14 years 3 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
GECCO
2006
Springer
132views Optimization» more  GECCO 2006»
14 years 2 months ago
Combining genetic algorithms with squeaky-wheel optimization
The AI optimization algorithm called "Squeaky-Wheel Optimization" (SWO) has proven very effective in a variety of real-world applications. Although the ideas behind SWO ...
Justin Terada, Hoa Vo, David Joslin
EC
2008
157views ECommerce» more  EC 2008»
13 years 9 months ago
The Crowding Approach to Niching in Genetic Algorithms
A wide range of niching techniques have been investigated in evolutionary and genetic algorithms. In this article, we focus on niching using crowding techniques in the context of ...
Ole J. Mengshoel, David E. Goldberg
CEC
2005
IEEE
14 years 4 months ago
On the convergence of multi-parent genetic algorithms
Abstract— This paper presents a Markov model for the convergence of multi-parent genetic algorithms (MPGAs). The proposed model formulates the variation of gene frequency caused ...
Chuan-Kang Ting
IEEECGIV
2005
IEEE
14 years 4 months ago
Automatic Feature Extraction and Stereo Image Processing with Genetic Algorithms for LiDAR Data
Aerial photos with LiDAR data were processed with genetic algorithms for not only the feature extraction but also orthographical image. DSM provided by LiDAR reduced the amount of...
Teng-To Yu, Ming Yang, Chao-Shi Chen