A genetic algorithm approach for solving flow shop problem
Other Title(s)
توجه الخوارزمية لحل مشكلة انسياب العمل
Joint Authors
Fehran, Buthaynah
al-Rawi, Hisham
Source
Al-Balqa` for Research and Studies
Issue
Vol. 9, Issue 2 (31 Oct. 2002), pp.105-116, 12 p.
Publisher
Publication Date
2002-10-31
Country of Publication
Jordan
No. of Pages
12
Main Subjects
Information Technology and Computer Science
Topics
Abstract AR
تعرض الورقة توجها جديدا لحل مشكلة انسيابية العمل الورشي.
يعتمد النظام الحاسوبي المعروض على الخوارزمية الجينية و على تمثيل مشكلة انسياب العمل الورشي على صورة مشكلة البائع المتجول.
و على هذا الأساس تعرض الورقة حل مشكلة جدولة الماكنة.
العمل.
تتطرق الورقة إلى الاختيارات المناسبة للعوامل الأساسية في الخوارزمية الجينية.
أظهرت النتائج المعطاة انحيازا شديدا نحو الجدولة المثلى.
Abstract EN
An w." approach for solving flow shop problem is presented .
The devel¬oped and implemented system -based on genetic algorithm- formulates the flow shop problem as a traveling salesman problem and .*solve> the machine -job scheduling; problem accordingly.
Special selection , crossover .
and mutation operators are used within the generic system.
Results showed fast convergence toward optimal .schedule
American Psychological Association (APA)
al-Rawi, Hisham& Fehran, Buthaynah. 2002. A genetic algorithm approach for solving flow shop problem. Al-Balqa` for Research and Studies،Vol. 9, no. 2, pp.105-116.
https://search.emarefa.net/detail/BIM-97640
Modern Language Association (MLA)
al-Rawi, Hisham& Fehran, Buthaynah. A genetic algorithm approach for solving flow shop problem. Al-Balqa` for Research and Studies Vol. 9, no. 2 (Oct. 2002), pp.105-116.
https://search.emarefa.net/detail/BIM-97640
American Medical Association (AMA)
al-Rawi, Hisham& Fehran, Buthaynah. A genetic algorithm approach for solving flow shop problem. Al-Balqa` for Research and Studies. 2002. Vol. 9, no. 2, pp.105-116.
https://search.emarefa.net/detail/BIM-97640
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 116
Record ID
BIM-97640