Abstract. In this paper we present different exact and heuristic optimization methods for scheduling planes which want to land (and start) at an airport -the Aircraft Sequencing Problem (ASP). We compare two known integer programming formulations with four new exact and heuristic solution methods regarding quality, speed and flexibility.
The ability to migrate tasks from one reconfigurable node to another improves the fault tolerance of distributed reconfigurable systems. The degree of fault tolerance is inherent to the system and can be optimized during system design. Therefore, an efficient way of calculating the degree of fault tolerance is needed. This paper presents an approach based on satisfiability testing (SAT) which regards the question: How many resources may fail in a distributed reconfigurable system without losing any functionality? We will show by experiment that our new approach can easily be applied to systems of reasonable size as we will find in the future in the field of body area networks and ambient intelligence.
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