Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/254347
Title: Efficient scheduling of tabu search round robin earliest deadline and first come first serve with genetic algorithm
Researcher: Rajagopal R
Guide(s): Sivakumar P
Keywords: Earliest Deadline
Efficient Scheduling
Engineering and Technology,Computer Science,Computer Science Information Systems
Genetic Algorithm
Round Robin
Tabu Search
University: Anna University
Completed Date: 2018
Abstract: The problem of scheduling n jobs on m machines with each job having specific machine route has been researched over the decade. The Job Shop Scheduling (JSS) is one of the hardest combinatorial optimization problems. Each resource can process at most one job at a time. An initial schedule is obtained the Genetic algorithm; the results are given as an input to Tabu Search and Round Robin to improve the status of initial scheduling. The research is mainly focus on to reduce the processing time, waiting time, burst time and turnaround time in number of jobs. This study proposes a new approach to evaluate a Job Shop Scheduling problem with the help of Tabu Search (TS), Round Robin (RR), Earliest Deadline First (EDF) and First Come First Serve (FCFS), Genetic Algorithm with Tabu Search, Round Robin, Earliest Deadline First and First Come First Serve. This approach is a very good result with the help of efficient scheduling. The job scheduling is the process of completing jobs over a time with allocation of shared resources. It is mainly used in proper environment, in which the jobs are allocated to various jobs. The scheduling are used in transportation, services batch system, Distributed Resource Management System (DRMS), Distributed Resource Manager (DRM), workload automation, newline
Pagination: xxiv, 207p
URI: http://hdl.handle.net/10603/254347
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File24.21 kBAdobe PDFView/Open
02_certificates.pdf833.61 kBAdobe PDFView/Open
03_abstract.pdf7.08 kBAdobe PDFView/Open
04_acknowledgement.pdf169.94 kBAdobe PDFView/Open
05_contents.pdf79.62 kBAdobe PDFView/Open
06_list_of_symbols_and_abbreviations.pdf10.8 kBAdobe PDFView/Open
07_chapter1.pdf318.64 kBAdobe PDFView/Open
08_chapter2.pdf226.69 kBAdobe PDFView/Open
09_chapter3.pdf318.54 kBAdobe PDFView/Open
10_chapter4.pdf303.58 kBAdobe PDFView/Open
11_chapter5.pdf225.95 kBAdobe PDFView/Open
12_chapter6.pdf389.38 kBAdobe PDFView/Open
13_chapter7.pdf183.3 kBAdobe PDFView/Open
14_chapter8.pdf177.15 kBAdobe PDFView/Open
15_appendices.pdf98.55 kBAdobe PDFView/Open
16_references.pdf215.81 kBAdobe PDFView/Open
17_publications.pdf158.78 kBAdobe PDFView/Open


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