The development of successful metaheuristic algorithms such as local search for a difficult problems such as satisfiability testing (SAT) is a challenging task. We investigate an ...
Most classical scheduling formulations assume a fixed and known duration for each activity. In this paper, we weaken this assumption, requiring instead that each duration can be ...
In this paper, we propose an extension of three incomplete depthfirst search techniques, namely depth-bounded backtrack search, credit search, and iterative broadening, towards pr...
DCSP (Distributed Constraint Satisfaction Problem) has been a very important research area in AI (Artificial Intelligence). There are many application problems in distributed AI t...
The problem of finding a high quality timetable for personnel in a hospital ward has been addressed by many researchers, personnel managers and schedulers over a number of years. ...
Edmund K. Burke, Patrick De Causmaecker, Sanja Pet...