Genetic algorithm and particle swarm optimization algorithm for speed error reduction in railway signaling systems
Mohammad Ali Sandidzadeh, A. Heydari, Ali Khodadadi · International Journal of Adaptive Control and Signal Processing · 2012
SUMMARY The paper deals with common concepts of modern methods of train speed determination with minimal errors. Balise locations depend on a variety of parameters. With genetic algorithm and particle swarm optimization, as two new intelligent algorithms, and Kalman filtering concept used, the best locations are determined to reduce tachometer errors. Copyright © 2012 John Wiley & Sons, Ltd.