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A Multi-Agent System for Optimal Train Scheduling in Single-Track Railways

Raziyeh Moghaddas Orcid Logo, Fabio Caraffini Orcid Logo, Monika Seisenberger Orcid Logo

Applications of Evolutionary Computation – 28th International Conference, EvoApplications 2025

Swansea University Authors: Raziyeh Moghaddas Orcid Logo, Fabio Caraffini Orcid Logo, Monika Seisenberger Orcid Logo

Published in: Applications of Evolutionary Computation – 28th International Conference, EvoApplications 2025
Published: Springer Nature
URI: https://cronfa.swan.ac.uk/Record/cronfa68687
first_indexed 2025-01-13T20:35:11Z
last_indexed 2025-01-13T20:35:11Z
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spelling 2025-01-13T16:21:46.5196076 v2 68687 2025-01-13 A Multi-Agent System for Optimal Train Scheduling in Single-Track Railways da9ab3736e4cc3d0b7b14dd69bfea7e6 0009-0001-7818-5362 Raziyeh Moghaddas Raziyeh Moghaddas true false d0b8d4e63d512d4d67a02a23dd20dfdb 0000-0001-9199-7368 Fabio Caraffini Fabio Caraffini true false d035399b2b324a63fe472ce0344653e0 0000-0002-2226-386X Monika Seisenberger Monika Seisenberger true false 2025-01-13 MACS Conference Paper/Proceeding/Abstract Applications of Evolutionary Computation – 28th International Conference, EvoApplications 2025 Springer Nature 0 0 0 0001-01-01 COLLEGE NANME Mathematics and Computer Science School COLLEGE CODE MACS Swansea University Not Required 2025-01-13T16:21:46.5196076 2025-01-13T15:36:02.4281019 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Raziyeh Moghaddas 0009-0001-7818-5362 1 Fabio Caraffini 0000-0001-9199-7368 2 Monika Seisenberger 0000-0002-2226-386X 3
title A Multi-Agent System for Optimal Train Scheduling in Single-Track Railways
spellingShingle A Multi-Agent System for Optimal Train Scheduling in Single-Track Railways
Raziyeh Moghaddas
Fabio Caraffini
Monika Seisenberger
title_short A Multi-Agent System for Optimal Train Scheduling in Single-Track Railways
title_full A Multi-Agent System for Optimal Train Scheduling in Single-Track Railways
title_fullStr A Multi-Agent System for Optimal Train Scheduling in Single-Track Railways
title_full_unstemmed A Multi-Agent System for Optimal Train Scheduling in Single-Track Railways
title_sort A Multi-Agent System for Optimal Train Scheduling in Single-Track Railways
author_id_str_mv da9ab3736e4cc3d0b7b14dd69bfea7e6
d0b8d4e63d512d4d67a02a23dd20dfdb
d035399b2b324a63fe472ce0344653e0
author_id_fullname_str_mv da9ab3736e4cc3d0b7b14dd69bfea7e6_***_Raziyeh Moghaddas
d0b8d4e63d512d4d67a02a23dd20dfdb_***_Fabio Caraffini
d035399b2b324a63fe472ce0344653e0_***_Monika Seisenberger
author Raziyeh Moghaddas
Fabio Caraffini
Monika Seisenberger
author2 Raziyeh Moghaddas
Fabio Caraffini
Monika Seisenberger
format Conference Paper/Proceeding/Abstract
container_title Applications of Evolutionary Computation – 28th International Conference, EvoApplications 2025
institution Swansea University
publisher Springer Nature
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
document_store_str 0
active_str 0
published_date 0001-01-01T14:39:31Z
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score 11.048042

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