Optimising Cyclic Timetables with a Sat Approach Epia 2017

AuthID
P-00N-114
4
Author(s)
Matos, GP
·
Albino, L
·
4
Editor(s)
Oliveira, E; Gama, J; Vale, Z; Cardoso, HL
Document Type
Proceedings Paper
Year published
2017
Published
in PROGRESS IN ARTIFICIAL INTELLIGENCE (EPIA 2017) in Lecture Notes in Artificial Intelligence, ISSN: 0302-9743
Volume: 10423, Pages: 343-354 (12)
Conference
18Th Epia Conference on Artificial Intelligence (Epia), Date: SEP 05-08, 2017, Location: Univ Porto, Fac Engn, Porto, PORTUGAL, Sponsors: EPIA, Univ Porto, Artificial Intelligence & Comp Sci Lab, INESC TEC, Lab Artificial Intelligence & Decis Support, Inst Engn Polytechn Porto, Intelligent Engn & Comp Adv Innovat & Dev Res Grp, Host: Univ Porto, Fac Engn
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Publication Identifiers
Scopus: 2-s2.0-85028984599
Wos: WOS:000452455800029
Source Identifiers
ISSN: 0302-9743
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