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Approximate solution of a resource-constrained scheduling problem
Authors:Renaud Sirdey  Jacques Carlier  Dritan Nace
Institution:(1) Service d’architecture BSC, Nortel GSM Access R&D, Parc d’activités de Magny-Chateaufort, 78928 Yvelines Cedex 09, France;(2) UMR CNRS Heudiasyc, Université de Technologie de Compiègne, Centre de recherches de Royallieu, BP 20529, 60205 Compiègne Cedex, France
Abstract:This paper is devoted to the approximate solution of a strongly NP-hard resource-constrained scheduling problem which arises in relation to the operability of certain high availability real time distributed systems. We present an algorithm based on the simulated annealing metaheuristic and, building on previous research on exact solution methods, extensive computational results demonstrating its practical ability to produce acceptable solutions, in a precisely defined sense. Additionally, our experiments are in remarkable agreement with certain theoretical properties of our simulated annealing scheme. The paper concludes with a short discussion on further research. This research was supported in part by Association Nationale de la Recherche Technique grant CIFRE-121/2004.
Keywords:Combinatorial optimization  Scheduling  Simulated annealing  Distributed systems  OR in telecommunications
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