NDLI: HGA-PN: A New Algorithm for Scheduling FMS Using Combinational Genetic Algorithm and Timed Petri Net

Content Provider	IEEE Xplore Digital Library
Author	MohammadPour, T. Yadollahi, M. Haghighat, A.T.
Copyright Year	2010
Abstract	In flexible manufacturing systems (FMS), each job is formed of a set of operations that should be executed consecutive. Determining the sequence of operations and assigning proper machine to each operation are two important problems in scheduling FMS’s. This is an NP-hard problem. Recently using heuristic methods, numerous algorithms are presented for solving this problem. In this paper for scheduling of flexible manufacturing systems, a new algorithm called Hybrid Genetic Algorithm-Petri Net (HGA-PN) is presented using Timed Petri Net and combinational genetic algorithm. In our purposed algorithm, first the flexible manufacturing system is modeled by using timed Petri net, and then an appropriate scheduling is manufactured using combinational genetic algorithm. The experimental results illustrates that our proposed algorithm has higher efficiency over other existing algorithms.
Starting Page	15
Ending Page	18
File Size	246219
Page Count	4
File Format	PDF
ISBN	9781424456420
e-ISBN	9781424456437
DOI	10.1109/ICCMS.2010.379
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-01-22
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Job shop scheduling Computer aided manufacturing Computational modeling Computer simulation Optimal scheduling flexible manufacturing system Timed Petri Net local search Scheduling algorithm Genetic algorithms genetic algorithm Processor scheduling NP-hard problem scheduling Flexible manufacturing systems
Content Type	Text
Resource Type	Article

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