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This paper addresses the single machine weighted number of on-time jobs scheduling problem where the machine is unavailable during one or more maintenance periods and the jobs share a common due date. It models the problem as a binary multiple knapsack (MKP), and offers an alternative proof that the problem is NP-Complete in the strong sense. Subsequently, it shows that some large-sized instances...
Tasks scheduling is one of the most important challenges in embedded hard-real-time systems. The problem is known to be NP-Hard and exhaustive search algorithms have no significant benefit in large-scale context. This paper proposes a scatter search based approach for mono-processor systems with timing, precedence and exclusion constraints with no preemption. An empirical study is undertaken and comparison...
This paper presents a meta-heuristic approach, namely, the ant colony system for non-preemptive scheduling of real-time tasks under timing and precedence constraints on a single processor architecture. The present paper expresses a solution to escape the stagnation situations well known in ant colonies based methods. The idea behind our solution is to add a new information to the transition rule so...
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