Multi-objective shortest path model for optimal route between commercial cities on America

Other Title(s)

استخدام نموذج المسار الأقصر متعدد الأهداف لإيجاد أمثل طريق بين المدن التجارية في أمريكا

Author

Ibrahim, Muhammad Sad

Source

Iraqi Journal of Science

Issue

Vol. 60, Issue 6 (30 Jun. 2019), pp.1394-1403, 10 p.

Publisher

University of Baghdad College of Science

Publication Date

2019-06-30

Country of Publication

Iraq

No. of Pages

10

Main Subjects

Mathematics

Abstract EN

The traditional shortest path problem is mainly concerned with identifying the associated paths in the transportation network that represent the shortest distance between the source and the destination in the transportation network by finding either cost or distance.

As for the problem of research under study it is to find the shortest optimal path of multi-objective (cost, distance and time) at the same time has been clarified through the application of a proposed practical model of the problem of multi-objective shortest path to solve the problem of the most important 25 commercial US cities by travel in the car or plane.

The proposed model was also solved using the lexicographic method through package program Win-QSB 2.0 for operational research applications.

American Psychological Association (APA)

Ibrahim, Muhammad Sad. 2019. Multi-objective shortest path model for optimal route between commercial cities on America. Iraqi Journal of Science،Vol. 60, no. 6, pp.1394-1403.
https://search.emarefa.net/detail/BIM-969412

Modern Language Association (MLA)

Ibrahim, Muhammad Sad. Multi-objective shortest path model for optimal route between commercial cities on America. Iraqi Journal of Science Vol. 60, no. 6 (2019), pp.1394-1403.
https://search.emarefa.net/detail/BIM-969412

American Medical Association (AMA)

Ibrahim, Muhammad Sad. Multi-objective shortest path model for optimal route between commercial cities on America. Iraqi Journal of Science. 2019. Vol. 60, no. 6, pp.1394-1403.
https://search.emarefa.net/detail/BIM-969412

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 1403

Record ID

BIM-969412