NDLI: Heuristic techniques: scheduling partially ordered tasks in a multi-processor environment with tabu search and genetic algorithms

Content Provider	IEEE Xplore Digital Library
Author	Lin, M. Karlsson, L. Yang, L.T.
Copyright Year	2000
Description	Author affiliation: Dept. of Comput. Sci., Linkoping Univ., Sweden (Lin, M.)
Abstract	Scheduling real-time computation is an extremely important activity in real-time systems, since it is the phase in which we assign the final temporal properties of the computations. The problem of allocating the resources in real-time systems creates an additional dimension within the conventional allocation problem, that of time constraints. The scheduling problem has been extensively examined in the literature. But optimization of valid schedules is an NP-hard problem, even for simple cases. Therefore, heuristic approaches seem appropriate to these classes of problems. In this paper, we investigate scheduling problems with certain kinds of temporal constraints and how these problems can be solved with the techniques of tabu search and genetic algorithms.
Starting Page	515
Ending Page	523
File Size	779033
Page Count	9
File Format	PDF
ISBN	0769505716
DOI	10.1109/PADSW.2000.884676
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-07-07
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Processor scheduling Real time systems Computer science Resource management Time factors NP-hard problem Genetic algorithms Constraint optimization Heuristic algorithms Scheduling algorithm
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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