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» Removing the Genetics from the Standard Genetic Algorithm
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GECCO
2000
Springer
120views Optimization» more  GECCO 2000»
15 years 1 months ago
An Improved Adaptive Multi-Start Approach to Finding Near-Optimal Solutions to the Euclidean TSP
We present an "adaptive multi-start" genetic algorithm for the Euclidean traveling salesman problem that uses a population of tours locally optimized by the Lin-Kernigha...
Dan Bonachea, Eugene Ingerman, Joshua Levy, Scott ...
EUROGP
2007
Springer
161views Optimization» more  EUROGP 2007»
15 years 4 months ago
Mining Distributed Evolving Data Streams Using Fractal GP Ensembles
A Genetic Programming based boosting ensemble method for the classification of distributed streaming data is proposed. The approach handles flows of data coming from multiple loc...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...
ROBIO
2006
IEEE
153views Robotics» more  ROBIO 2006»
15 years 3 months ago
GA-based Feature Subset Selection for Myoelectric Classification
– This paper presents an ongoing investigation to select optimal subset of features from set of well-known myoelectric signals (MES) features in time and frequency domains. Four ...
Mohammadreza Asghari Oskoei, Huosheng Hu
CSMR
2005
IEEE
15 years 3 months ago
Towards the Automatic Evolution of Reengineering Tools
Building reverse engineering or reengineering tools often requires parsers for many different programming languages. The diffusion of dialects and variants makes many available pa...
Massimiliano Di Penta, Kunal Taneja
GECCO
2005
Springer
140views Optimization» more  GECCO 2005»
15 years 3 months ago
Stock prediction based on financial correlation
In this paper, we propose a neuro-genetic stock prediction system based on financial correlation between companies. A number of input variables are produced from the relatively h...
Yung-Keun Kwon, Sung-Soon Choi, Byung Ro Moon