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High-Performance Computing for Scheduling Decision Support: A Parallel Depth-First Search Heuristic

URN to cite this document:
urn:nbn:de:bvb:355-epub-326415
Rauchecker, Gerhard ; Schryen, Guido
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Date of publication of this fulltext: 21 Oct 2015 10:10


Abstract

Many academic disciplines - including information systems, computer science, and operations management - face scheduling problems as important decision making tasks. Since many scheduling problems are NP-hard in the strong sense, there is a need for developing solution heuristics. For scheduling problems with setup times on unrelated parallel machines, there is limited research on solution ...

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