NDLI: Single Machine Scheduling with Common Due Date Based on PSO Integrated with Heuristics

Content Provider	IEEE Xplore Digital Library
Author	Xue-Jing Wu Hong Zhou Xiao-Wei Tan
Copyright Year	2006
Description	Author affiliation: Sch. of Econ. & Manage., Beihang Univ., Beijing (Xue-Jing Wu)
Abstract	The classical particle swarm optimization (PSO) is a powerful method to find the minimum of for a function optimization problem, especially with a continuous solution space. So far, it has not been widely applied to solving those problems with discrete features. We attempt to deal with the problem of scheduling jobs on a single machine against common due dates with respect to earliness and tardiness penalties in this paper. A PSO strategy integrated with a kind of heuristic algorithm is proposed, where the heuristic information is composed of the processing time and tardiness penalty for each job. It is indicated that such strategy can significantly improve the performance of the solutions. Furthermore, we demonstrate by numerical benchmark examples from OR-Library that our algorithm is both effective and efficient in achieving satisfied solutions for scheduling problems with earliness and tardiness penalties
Starting Page	728
Ending Page	733
File Size	6339497
Page Count	6
File Format	PDF
ISBN	1424403170
DOI	10.1109/SOLI.2006.329080
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Common due daets Job shop scheduling Heuristic algorithms Optimization methods Scheduling Particle swarm optimization PSO Scheduling algorithm Engineering management Production Systems engineering and theory Manufacturing Single machine scheduling Heuristic
Content Type	Text
Resource Type	Article

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