Ant colony method to minimize single machine scheduling problem

Author

Araibi, Sami M.

Source

Journal of Thi-Qar Science

Issue

Vol. 6, Issue 3 (31 Dec. 2017), pp.52-57, 6 p.

Publisher

University of Thi-Qar College of Science

Publication Date

2017-12-31

Country of Publication

Iraq

No. of Pages

6

Main Subjects

Natural & Life Sciences (Multidisciplinary)

Abstract EN

The study deal with a single machine scheduling problem where the objective is to find the sequence which it give the optimal or efficient solution for the objective function the sum of discounted weighted completion time and number of tardy jobs.

The optimal solution was found for some special cases.

Ant colony optimization (ACO) using to found an approximate solution.

Results of extensive computational tests show that proposed (ACO) is effective in solving problems up to (1000) jobs at a time less than or equal to (10) minutes.

American Psychological Association (APA)

Araibi, Sami M.. 2017. Ant colony method to minimize single machine scheduling problem. Journal of Thi-Qar Science،Vol. 6, no. 3, pp.52-57.
https://search.emarefa.net/detail/BIM-834328

Modern Language Association (MLA)

Araibi, Sami M.. Ant colony method to minimize single machine scheduling problem. Journal of Thi-Qar Science Vol. 6, no. 3 (Dec. 2017), pp.52-57.
https://search.emarefa.net/detail/BIM-834328

American Medical Association (AMA)

Araibi, Sami M.. Ant colony method to minimize single machine scheduling problem. Journal of Thi-Qar Science. 2017. Vol. 6, no. 3, pp.52-57.
https://search.emarefa.net/detail/BIM-834328

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 56-57

Record ID

BIM-834328