A NEURAL APPROACH FOR CONSTRAINT SATISFACTION OF A GENERALIZED JOB SHOP SCHEDULING PROBLEM WITH FUZZY PROCESS TIMES

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

TAVAKOLI MOGHADAM R.; SAFAEI N.

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING AND PRODUCTION MANAGEMENT (IJIE) (INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE) (PERSIAN) Year:2007 | Volume:17 | Issue:6 Page(s): 67-77

Download Full-Text

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

View:

892

Download:

Cites:

Information Journal Paper

Title

A NEURAL APPROACH FOR CONSTRAINT SATISFACTION OF A GENERALIZED JOB SHOP SCHEDULING PROBLEM WITH FUZZY PROCESS TIMES

Author(s)

TAVAKOLI MOGHADAM R. | SAFAEI N. | Issue Writer Certificate

Keywords

Not Registered.

Abstract

This paper presents a fuzzy-neural approach for constraint satisfaction of a generalized job shop scheduling problem (GJSSP) with fuzzy process time. This paper is an extension of recently developed research carried out in the literature. However, we assume that the process time is uncertain. Due to NP-hard nature of the problem, there is a need of using a metaheuristic method.The first step of any metaheuristic method is to generate initial solutions. Thus, the proposed fuzzy neural approach can adaptively adjust its weights of connections based on the sequence, resource, and uncertain process time constraints of the GJSSP during its processing. Simulations have shown that the proposed fuzzy-neural approach is efficient with respect to the capability of accessing to feasible space and the solution speed.

Cites

No record.

References

No record.

Cite

APA: Copy

TAVAKOLI MOGHADAM, R., & SAFAEI, N.. (2007). A NEURAL APPROACH FOR CONSTRAINT SATISFACTION OF A GENERALIZED JOB SHOP SCHEDULING PROBLEM WITH FUZZY PROCESS TIMES. INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING AND PRODUCTION MANAGEMENT (IJIE) (INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE) (PERSIAN), 17(6), 67-77. SID. https://sid.ir/paper/65566/en

Vancouver: Copy

TAVAKOLI MOGHADAM R., SAFAEI N.. A NEURAL APPROACH FOR CONSTRAINT SATISFACTION OF A GENERALIZED JOB SHOP SCHEDULING PROBLEM WITH FUZZY PROCESS TIMES. INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING AND PRODUCTION MANAGEMENT (IJIE) (INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE) (PERSIAN)[Internet]. 2007;17(6):67-77. Available from: https://sid.ir/paper/65566/en

IEEE: Copy

R. TAVAKOLI MOGHADAM, and N. SAFAEI, “A NEURAL APPROACH FOR CONSTRAINT SATISFACTION OF A GENERALIZED JOB SHOP SCHEDULING PROBLEM WITH FUZZY PROCESS TIMES,” INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING AND PRODUCTION MANAGEMENT (IJIE) (INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE) (PERSIAN), vol. 17, no. 6, pp. 67–77, 2007, [Online]. Available: https://sid.ir/paper/65566/en

Related Journal Papers