| عنوان فارسی مقاله: | بهینه سازی پرندگان مهاجر: شیوه فراابتکاری جدید و عملکردش در رابطه با مسئله تخصیص درجه دوم |
| عنوان انگلیسی مقاله: | Migrating Birds Optimization: A new metaheuristic approach and its performance on quadratic assignment problem |
کلمات کلیدی :
3. The Migrating Birds Optimization algorithm 1. Generate n initial solutions in a random manner and place them on an hypothetical V formation arbitrarily 5. Try to improve the leading solution by generating and evaluating k neighbors of it 6. i = i + k 7. for each solution sr in the flock (except leader) 10 more rows Migrating Birds Optimization: A new metaheuristic approach and its ... www.sciencedirect.com/science/article/pii/S0020025512004483 Feedback About this result • Migrating Birds Optimization: A new metaheuristic ... - ScienceDirect www.sciencedirect.com/science/article/pii/S0020025512004483 by E Duman - 2012 - Cited by 70 - Related articles Jul 2, 2012 - 3. The Migrating Birds Optimization algorithm. The MBO algorithm is a neighborhood search technique. It starts with a number of initial solutions corresponding to birds in a V formation. [PDF]Migrating Birds Optimization for Flow Shop Sequencing Problem file.scirp.org/pdf/JCC_2014031815570278.pdf by V Tongur - 2014 - Cited by 5 - Related articles They are inspired from the flight position of migratory birds while they migrate as a flock. Migrating Birds Optimization algorithm (MBO) is revealed as a result of studies on V formation of the birds, which provides energy saving in flying long distances, during the migration. Migrating Birds Optimization: A new metaheuristic ... - Journals - Elsevier https://www.journals.elsevier.com/.../migrating-birds-optimization-a-new-metaheuristi... Migrating Birds Optimization: A new metaheuristic approach and its performance on quadratic assignment problem. Ekrem Duman, Mitat Uysal, Ali Fuat Alkaya. Migrating Birds Optimization - YouTube Video for Migrating Birds Optimization▶ 5:05 https://www.youtube.com/watch?v=ShMqtnbRnS4 Jan 15, 2014 - Uploaded by Elsevier Journals Migrating Birds Optimization: A new metaheuristic approach and its performance on quadratic assignment ... Migrating Birds Optimization: A New Meta-heuristic Approach and Its ... link.springer.com/chapter/10.1007%2F978-3-642-20525-5_26 by E Duman - 2011 - Cited by 7 - Related articles Cite this paper as: Duman E., Uysal M., Alkaya A.F. (2011) Migrating Birds Optimization: A New Meta-heuristic Approach and Its Application to the Quadratic ... Performance of Migrating Birds Optimization Algorithm on Continuous ... link.springer.com/chapter/10.1007/978-3-319-11897-0_51 by AF Alkaya - 2014 - Cited by 4 - Related articles Cite this paper as: Alkaya A.F., Algin R., Sahin Y., Agaoglu M., Aksakalli V. (2014) Performance of Migrating Birds Optimization Algorithm on Continuous ... Migrating Birds Optimization dl.acm.org/citation.cfm?id=2365023 by E Duman - 2012 - Cited by 69 - Related articles Dec 1, 2012 - Migrating Birds Optimization: A new metaheuristic approach and its performance on quadratic assignment problem ... An Enhanced Migrating Birds Optimization Algorithm for ... - IEEE Xplore ieeexplore.ieee.org/iel7/6596012/6613243/06613246.pdf by KZ Gao - 2013 - Cited by 6 - Related articles This paper proposes an enhanced migrating birds optimization (EMBO) algorithm for no-wait flow shop scheduling with total flow time criterion. Because MBO is ... Migrating Birds Optimization for the Seaside Problems at Maritime ... https://www.hindawi.com/journals/jam/aa/781907/ by E Lalla-Ruiz - 2015 - Cited by 3 - Related articles May 27, 2015 - For solving them, two Migrating Birds Optimization (MBO) approaches are proposed. The MBO is a recently proposed nature-inspired algorithm ... Migrating birds optimization: a new meta - heuristic approach and its ... openaccess.dogus.edu.tr/handle/11376/1402 Translate this page by E Duman - 2011 - Cited by 7 - Related articles Migrating birds optimization: a new meta - heuristic approach and its application to the quadratic assignment problem. In DiCHIO, C., CAGNONI, S., COTTA, ...