Title
New models for the Mirrored Traveling Tournament Problem
Abstract
The Mirrored Traveling Tournament Problem (mTTP) is a challenging combinatorial optimization problem which consists in generating a timetable for sports tournaments with two half series, what is equivalent to a double round-robin timetable problem. The distance traveled by the teams should be minimized in the final timetable, and a new objective is to minimize the longest distance traveled, named MinMaxTTP. It is proposed an integer programming formulation to the mTTP and two models with dynamic constraints to its solution. Both models are based on the detection of independent sets on conflict graphs, whose use has not been reported in the literature about the problem. Real data benchmarks from a baseball tournament are used in the experiments carried out.
Year
DOI
Venue
2012
10.1016/j.cie.2012.08.002
Computers & Industrial Engineering
Keywords
Field
DocType
dynamic constraint,baseball tournament,conflict graph,half series,new model,tournament problem,challenging combinatorial optimization problem,independent set,longest distance,final timetable,double round-robin timetable problem,integer programming
Traveling tournament problem,Graph,Mathematical optimization,Tournament,Combinatorial optimization problem,Schedule,Integer programming,Mathematics
Journal
Volume
Issue
ISSN
63
4
0360-8352
Citations 
PageRank 
References 
4
0.40
12
Authors
2