NDLI: Scheduling by iterative partition of bottleneck conflicts

Content Provider	IEEE Xplore Digital Library
Author	Muscettola, N.
Copyright Year	1993
Description	Author affiliation: Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA (Muscettola, N.)
Abstract	The author describes conflict partition scheduling (CPS), a novel methodology that constructs solutions to scheduling problems by repeatedly identifying bottleneck conflicts and posting constraints to resolve them. The identification of bottleneck conflicts is based on a capacity analysis using a stochastic simulation methodology. Once a conflict is identified, CPS does not attempt to resolve it completely; instead it introduces constraints that merely decrease its criticality. By reducing the amount by which each scheduling decision prunes the search space, CPS tries to minimize the chance of getting lost in blind alleys. The effectiveness of CPS was demonstrated by an experimental analysis that compared CPS to two current scheduling methods: micro-opportunistic constraint-directed search and min-conflict iterative repair. CPS is shown to perform better than both on a standard benchmark of constraint satisfaction scheduling problems.<>
Starting Page	49
Ending Page	55
File Size	687178
Page Count	7
File Format	PDF
ISBN	0818638400
DOI	10.1109/CAIA.1993.366662
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1993-03-01
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Processor scheduling Stochastic processes Extraterrestrial measurements Contracts Problem-solving Robots Iterative methods Artificial intelligence Prototypes Orbital robotics
Content Type	Text
Resource Type	Article

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