- 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
Genetic - Local Hybrid Optimizer for Solving Advance Layout Problem | ||
| Al-Rafidain University College For Sciences | ||
| Article 1, Volume 0, Issue 19, 2017, Pages 87-98 | ||
| Author | ||
| Abstract | ||
| Advance layout problem (Alp) is used to search for an optimal layout of machines. This Research Describes a novel method, based on genetic algorithms (GA) to solve the machine layout problem, where developing machine layout is an important step in designing manufacturing , renovation of factories, distribution centers, hospitals, banks, department stores, military supply, depots, university, ect .The research studies the problems of adding the heterogeneous objects, continuous placement in the general spatial layout problem. Results are achieved through the use of local optimizer, separation algorithm with genetic algorithm also called hybrid simple genetic. Results show the potentiality of the proposed algorithm in solving the problem and outperforming previous algorithms. | ||
| Keywords | ||
| Genetic | ||
|
Statistics Article View: 155 PDF Download: 58 |
||