- All Journals
- Al-Qadisiyah University
- Basrah University
- Kirkuk University
- Mosul University
- The Iraqi Borad for Medical Specialization
- University of Anbar
- University of Technology
- Al Mustafa University
- Al-Zahraa University for Women
- Alnoor University
- Kunooz University
- Misan University
- Ninevah University
- Tikrit University
- University of Al-Hamdaniya
- University of Kerbala
Solving Shortage Control Problem in Inventory Production Using Genetic Algorithm | ||
| AL-MANSOUR JOURNAL | ||
| Article 1, Volume 0, Issue 26, 2017, Pages 49-65 | ||
| Authors | ||
| Abdulmunam Kidam Hemidy; Alaa Hikmat Abd Al-Star | ||
| Abstract | ||
| This paper has been focused on an improvement on the application of traditional methods using genetic algorithm. Genetic algorithm considers one of the random searching algorithms that based on the mechanism of natural selection and natural genetics. This improvement has implemented on inventory production model that has a deficit. Experimental result has been illustrated that applying genetic algorithm on petrol production was better than applying traditional methods because of that the total cost down when using genetic algorithm in order to cover the shortage in production. | ||
| Keywords | ||
| genetic algorithm; inventory production model; shortage in production; traditional methods | ||
|
Statistics Article View: 20 PDF Download: 1 |
||