The resource-constrained project scheduling problem with time windows (RCPSP/max) is an important generalization of a number of well studied scheduling problems. In this paper, we...
In this work we extend the work of Dean, Kaelbling, Kirman and Nicholson on planning under time constraints in stochastic domains to handle more complicated scheduling problems. I...
We propose a unifying method for analysis of scheduling problems in real-time systems. The method is based on ACSR-VP, a real-time process algebra with value-passing capabilities....
Hee-Hwan Kwak, Insup Lee, Anna Philippou, Jin-Youn...
Market mechanisms solve distributed scheduling problems by allocating the scheduled resources according to market prices. We model distributed scheduling as a discrete resource al...
William E. Walsh, Michael P. Wellman, Peter R. Wur...
Planning and scheduling attracts an unceasing attention of computer science community. However, despite of similar character of both tasks, in most current systems planning and sch...
The paper introduces a family of scheduling problems called fault-tolerant programs scheduling FTPS. Since FTPS problems are, in general, computationally di cult, a challenge is to...
Piotr Jedrzejowicz, Ireneusz Czarnowski, Henryk Sz...
When searching the space of possible plans for combined planning and scheduling problems we often reach a local maximum and must either backtrack or otherwise modify the plan to m...
Instruction scheduling is one of the most important steps for improving the performance of object code produced by a compiler. The local instruction scheduling problem is to nd a m...
Abstract. Logic-based Benders decomposition can combine mixed integer programming and constraint programming to solve planning and scheduling problems much faster than either metho...
Borodin, Nielsen and Rackoff [5] proposed a framework for ing the main properties of greedy-like algorithms with emphasis on scheduling problems, and Davis and Impagliazzo [6] ext...