@inbook {IOPORT.06095088,
    author       = {Kyng\"as, Nico and Goossens, Dries and Nurmi, Kimmo and Kyng\"as, Jari},
    title        = {Optimizing the unlimited shift generation problem.},
    year         = {2012},
    booktitle    = {Applications of evolutionary computation. EvoApplications 2012: EvoCOMNET, EvoCOMPLEX, EvoFIN, EvoGAMES, EvoHOT, EvoIASP, EvoNUM, EvoPAR, EvoRISK, EvoSTIM, and EvoSTOC, M\'alaga, Spain, April 11--13, 2012. Proceedings},
    isbn         = {978-3-642-29177-7},
    pages        = {508-518},
    publisher    = {Berlin: Springer},
    doi          = {10.1007/978-3-642-29178-4_51},
    abstract     = {Summary: Good rosters have many benefits for an organization, such as lower costs, more effective utilization of resources and fairer workloads. This paper introduces the unlimited shift generation problem. The problem is to construct a set of shifts such that the staff demand at each timeslot is covered by a suitable number of employees. A set of real-world instances derived from the actual problems solved for various companies is presented, along with our results. This research has contributed to better systems for our industry partners.},
    identifier   = {06095088},
}