- 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
BSA: A Hybrid Bees’ Simulated Annealing Algorithm To Solve Optimization & NP-Complete Problems | ||
| Engineering and Technology Journal | ||
| Article 1, Volume 28, Issue 2, 2010, Pages 271-281 PDF (173.46 K) | ||
| DOI: 10.30684/etj.28.2.5 | ||
| Authors | ||
| Ahmed Tariq Sadiq; Amaal Ghazi Hamad | ||
| Abstract | ||
| Swarm-based algorithms such as Bees Algorithm BA have proven to be very powerful computational techniques due to their search capabilities. Other methods which are useful in diverse application areas are simulated annealing, evolution strategies etc. The searching ability of these algorithms can be improved by properly blending their characteristic features. In this paper an attempt is made to intermix the search properties of BA and SA, in order to develop a hybrid algorithm which is equally applicable and has a better searching ability and power to reach a near optimal solution. This leads to the development of a fast method to solve complicated types of optimization and NP-complete problems. | ||
|
Statistics Article View: 318 PDF Download: 207 |
||