Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/24563
Title: Integration of metaheuristic algorithms for job shop scheduling
Researcher: Thamilselvan R
Guide(s): Balasubramanie P
Keywords: Genetic Algorithm
Metaheuristic algorithms
Parallel Simulated Annealing
Simulated Annealing
Upload Date: 3-Sep-2014
University: Anna University
Completed Date: 01/07/2012
Abstract: Scheduling is generally considered to be one of the most significant issues in the planning and operation of a manufacturing system Better scheduling systems have significant impact on cost reduction increased productivity, customer satisfaction and overall competitive advantage Proficient scheduling leads to increase in capacity utilization efficiency thereby reducing the time required to complete jobs and a consequent increase newlinein the profitability of an organization in the present competitive environment For each job in a job shop scheduling problem there is a sequence of operations which needs to be processed without interruption on a given machine for a given period of time Each machine can process only one job at a time The main objective of Job Shop Scheduling Problem is to find the feasible schedule that could minimize the maximum completion time number of iterations and processing time A job shop scheduling is among the toughest scheduling problems because of the huge number of possible solutions that could be generated for every problem There is no efficient conventional optimization algorithm that can guarantee an optimal solution in polynomial time Metaheuristics are used to solve the computationally hard optimization problems Metaheuristics are newlineused as a stand alone approach for solving hard combinatorial optimization problems newline newline
Pagination: xxiii, 180p.
URI: http://hdl.handle.net/10603/24563
Appears in Departments:Faculty of Information and Communication Engineering

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02_certificate.pdf1.68 MBAdobe PDFView/Open
03_abstract.pdf10.17 kBAdobe PDFView/Open
04_acknowledgement.pdf6.31 kBAdobe PDFView/Open
05_contents.pdf37.09 kBAdobe PDFView/Open
06_chapter1.pdf573.55 kBAdobe PDFView/Open
07_chapter2.pdf61.42 kBAdobe PDFView/Open
08_chapter3.pdf223.98 kBAdobe PDFView/Open
09_chapter4.pdf723.57 kBAdobe PDFView/Open
10_chapter5.pdf1.15 MBAdobe PDFView/Open
11_chapter6.pdf420.07 kBAdobe PDFView/Open
12_chapter7.pdf547.8 kBAdobe PDFView/Open
13_chapter8.pdf10.02 kBAdobe PDFView/Open
14_references.pdf35 kBAdobe PDFView/Open
15_publications.pdf8.23 kBAdobe PDFView/Open
16_vitae.pdf5.47 kBAdobe PDFView/Open


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