A mathematical for periodic scheduling problems
SIAM Journal on Discrete Mathematics
.879-approximation algorithms for MAX CUT and MAX 2SAT
STOC '94 Proceedings of the twenty-sixth annual ACM symposium on Theory of computing
Polynomial time approximation schemes for dense instances of NP-hard problems
STOC '95 Proceedings of the twenty-seventh annual ACM symposium on Theory of computing
A genetic algorithm approach to periodic railway synchronization
Computers and Operations Research
Integral cycle bases for cyclic timetabling
Discrete Optimization
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We consider the problem of satisfying the maximum number of constraints of an instance of the Periodic Event Scheduling Problem (Pesp). This is a key issue in periodic railway timetable construction, and has many other applications, e.g. for traffic light scheduling. We generalize two (in-) approximability results, which are known for Maximum-K-Colorable-Subgraph. Moreover, we present a deterministic combinatorial polynomial time algorithm. Its output violates only very few constraints for five real-world instances.