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Scheduling and Optimisation

B. McCollum, P. McMullan

Intelligent scheduling and optimisation techniques are sought that may be applied to complex problems in science, engineering and in business. Application areas include manufacturing requirements and hardware applications.

A particular application specialism is Educational Timetabling problems which have stimulated innovative scientific advances at the interface of operational research and artificial intelligence since the 1960s. There are strong linkages, evidenced by joint publications, for example, with the prestigious Automated, Scheduling, Optimisation and Planning (ASAP) group at the University of Nottingham.  

The research at Queen’s has a very close synergy with industry. Start-up companies EventMAP Limited and Realtime Solutions Limited represent a cumulative impact from years of research at the academic/industrial interface. In addition, the team has had involvement with six Knowledge Transfer Schemes since 2002.