Hybrid algorithm approach to job shop scheduling problem

Dr. Ye Li

Hybrid algorithm approach to job shop scheduling problem

Dr. Ye Li * §

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Dalian Maritime University

Hybrid algorithm approach to job shop scheduling problem

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Abstract

In this paper, we analyze the characteristics of the dynamic job shop scheduling problem when machine breakdown and new job arrivals occur. A hybrid approach involving neural networks(NNs) and geneticalgorithm(GA) is presented to solve the dynamic job shop scheduling problem as a static scheduling problem. The objective of this kind of job shop scheduling problem is minimizing the completion time of all the jobs, called the makespan, subject to the constraints.The result shows that the hybrid methodology which has been successfully applied to the static shop scheduling problems can be also applied to solve the dynamic shop scheduling problem efficiency.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. Ye Li. 1970. "Hybrid algorithm approach to job shop scheduling problem". Global Journal of Computer Science and Technology GJCST Volume 10 (GJCST Volume 10 Issue 8).

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GJCST Volume 10 Issue 8

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Submission ReceivedFebruary 7, 2010
Peer Review Double Blind
Handling Editor
Accepted March 4, 2010
Published March 15, 2010

Version of record

v1.2

Issue date

September 20, 2010

Language

English

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Article Matrices

Total Score: 146

Country: Unknown

Subject: Global Journal of Computer Science and Technology

Authors: Dr. Ye Li and Yan Chen (PhD/Dr. count: 1)

View Count (all-time): 192

Total Views (Real + Logic): 6347

Total Downloads (simulated): 299

Publish Date: 2010 03, Mon

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Total Views: 6.3K

Total Downloads: 299

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