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Maik Günther Coauthor index pubzone.org

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DBLP keys2012
8Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMaik Günther: Hochlexibles Workforce Management. Herausforderungen und Lösungsverfahren. KI 26(1): 95-98 (2012)
2011
7Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLVolker Nissen, Maik Günther, René Schumann: Integrated Generation of Working Time Models and Staff Schedules in Workforce Management. EvoApplications (2) 2011: 491-500
2010
6Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLVolker Nissen, Maik Günther: Automatic Generation of Optimised Working Time Models in Personnel Planning. ANTS Conference 2010: 384-391
5Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMaik Günther, Volker Nissen: Particle Swarm Optimization and an Agent-Based Algorithm for a Problem of Staff Scheduling. EvoApplications (2) 2010: 451-461
4Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMaik Günther, Volker Nissen: Combined Working Time Model Generation and Personnel Scheduling. Heinz Nixdorf Symposium 2010: 210-221
3Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMaik Günther, Volker Nissen: Sub-daily Staff Scheduling for a Logistics Service Provider. KI 24(2): 105-113 (2010)
2009
2Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLVolker Nissen, Maik Günther: Staff Scheduling with Particle Swarm Optimisation and Evolution Strategies. EvoCOP 2009: 228-239
1Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMaik Günther, Volker Nissen: A Comparison of Neighbourhood Topologies for Staff Scheduling with Particle Swarm Optimisation. KI 2009: 185-192

Coauthor Index

1Volker Nissen [1] [2] [3] [4] [5] [6] [7]
2René Schumann [7]

Last update Wed May 30 22:34:44 2012 CET by the DBLP TeamThis material is Open Data Data released under the ODC-BY 1.0 license — See also our legal information page