Assessment of Evolutionary Algorithms for Level Crossing Scheduling Control Using Statistical Hypothesis Testing

54th International Scientific Conference of Riga Technical University. Section of Power and Electrical Engineering: Digest Book and Electronic Proceedings 2013
Ivars Alps, Mihails Gorobecs, Anatolijs Ļevčenkovs

This research aims to develop algorithms for intelligent scheduling of safer movement of road and railway transport using scheduling theory and evolutionary algorithms for optimization. In this paper, the multi-criteria target function is defined for assessment of newly schedules, which is used for schedule optimization by immune and genetic algorithms. Algorithms are compared for better performance in searching of optimal solution.

Atslēgas vārdi
intelligent transport systems, scheduling, genetic algorithms, immune algorithms

Alps, I., Gorobecs, M., Ļevčenkovs, A. Assessment of Evolutionary Algorithms for Level Crossing Scheduling Control Using Statistical Hypothesis Testing. No: 54th International Scientific Conference of Riga Technical University. Section of Power and Electrical Engineering: Digest Book and Electronic Proceedings, Latvija, Riga, 14.-14. oktobris, 2013. Riga: RTU Press, 2013, 35.-37.lpp. ISBN 978-9934-10-470-1.

Publikācijas valoda
English (en)