ON THE LINEARIZATION OF ZINC MODELS

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.

JABERI NEGAR; RAFEH REZA

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

Journal Paper

Paper Information

Journal: JOURNAL OF ADVANCES IN COMPUTER RESEARCH Year:2014 | Volume:5 | Issue:4 (18) Page(s): 1-8

Download Full-Text

View:

299

Download:

129

Cites:

Information Journal Paper

Title

ON THE LINEARIZATION OF ZINC MODELS

Author(s)

JABERI NEGAR | RAFEH REZA | Issue Writer Certificate

Keywords

LINEARIZATION TECHNIQUES

LINEAR PROGRAMMING

ZINC

SOLVER INDEPENDENCE

Abstract

Zinc is the first modelling language which supports solver and technique independence. This means that a high level conceptual model can be automatically mapped into an appropriate low level design model for a specific solver or technique. To date, ZINC uses three different techniques to solve a model: Constraint Programming (CP), Local Search (LS), and Mixed Integer Programming (MIP). In this way, modellers can examine all solving techniques for their models and see which one gives them the best result. MIP solvers can only accept linear models. Therefore, to map a conceptual model to MIP solvers, the model must be linearized first. In this paper we explain the techniques used in ZINC to linearize high level data structures and expressions which may be appeared in a conceptual model. As a result, modellers can benefit of expressive modelling using nonlinear expressions as well as efficiency of MIP solvers.

Cites

No record.

References

A SURVEY OF LINEARIZATION TECHNIQUES FOR NONLINEAR MODELS

Cite

APA: Copy

JABERI, NEGAR, & RAFEH, REZA. (2014). ON THE LINEARIZATION OF ZINC MODELS. JOURNAL OF ADVANCES IN COMPUTER RESEARCH, 5(4 (18)), 1-8. SID. https://sid.ir/paper/328778/en

Vancouver: Copy

JABERI NEGAR, RAFEH REZA. ON THE LINEARIZATION OF ZINC MODELS. JOURNAL OF ADVANCES IN COMPUTER RESEARCH[Internet]. 2014;5(4 (18)):1-8. Available from: https://sid.ir/paper/328778/en

IEEE: Copy

NEGAR JABERI, and REZA RAFEH, “ON THE LINEARIZATION OF ZINC MODELS,” JOURNAL OF ADVANCES IN COMPUTER RESEARCH, vol. 5, no. 4 (18), pp. 1–8, 2014, [Online]. Available: https://sid.ir/paper/328778/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops