Immune Algorithm and Intelligent Devices for Schedule Overlap Prevention in Electric Transport

2016 57th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON): Conference Proceedings 2016
Ivars Alps, Mihails Gorobecs, Anna Beinaroviča, Anatolijs Ļevčenkovs

This study is dedicated to optimize the electric transport traffic by adjusting timetables using evolutionary algorithms and scheduling theory. Developed multiple criteria objective function’s energy consumption criterion is used for the assessment of adjusted schedules. The scheduling results of immune algorithm is compared with results of genetic algorithm by providing better energy saving effect and eliminating of schedules overlapping. This article also discusses one of the possible energy savings - proper planning of transport operations. It is considered on the railway irregular transportation operations example

Atslēgas vārdi
public transport systems, scheduling theory, intelligent devices, immune algoriths.
DOI
10.1109/RTUCON.2016.7763132
Hipersaite
http://ieeexplore.ieee.org/document/7763132/

Alps, I., Gorobecs, M., Beinaroviča, A., Ļevčenkovs, A. Immune Algorithm and Intelligent Devices for Schedule Overlap Prevention in Electric Transport. No: 2016 57th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON): Conference Proceedings, Latvija, Rīga, 13.-14. oktobris, 2016. Riga: Riga Technical University, 2016, 191.-197.lpp. ISBN 978-1-5090-3729-2. e-ISBN 978-1-5090-3731-5. Pieejams: doi:10.1109/RTUCON.2016.7763132

Publikācijas valoda
English (en)