Migrating birds optimization: a new metaheuristic approach and its performance on quadratic assignment problem | Kütüphane.osmanlica.com

Migrating birds optimization: a new metaheuristic approach and its performance on quadratic assignment problem

İsim Migrating birds optimization: a new metaheuristic approach and its performance on quadratic assignment problem
Yazar Duman, Ekrem, Uysal, M., Alkaya, A. F.
Basım Tarihi: 2012-12-25
Basım Yeri - Elsevier
Konu Metaheuristics, Optimization, Birds’ migration, V-shape topology, Benefit mechanism
Tür Süreli Yayın
Dil İngilizce
Dijital Evet
Yazma Hayır
Kütüphane: Özyeğin Üniversitesi
Demirbaş Numarası 0020-0255
Kayıt Numarası 08e47518-783f-43f4-b65e-0cd233c3f6cc
Lokasyon Industrial Engineering
Tarih 2012-12-25
Notlar Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Örnek Metin We propose a new nature inspired metaheuristic approach based on the V flight formation of the migrating birds which is proven to be an effective formation in energy saving. Its performance is tested on quadratic assignment problem instances arising from a real life problem and very good results are obtained. The quality of the solutions we report are better than simulated annealing, tabu search, genetic algorithm, scatter search, particle swarm optimization, differential evolution and guided evolutionary simulated annealing approaches. The proposed method is also tested on a number of benchmark problems obtained from the QAPLIB and in most cases it was able to obtain the best known solutions. These results indicate that our new metaheuristic approach could be an important player in metaheuristic based optimization.
DOI 10.1016/j.ins.2012.06.032
Cilt 217
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Migrating birds optimization: a new metaheuristic approach and its performance on quadratic assignment problem

Yazar Duman, Ekrem, Uysal, M., Alkaya, A. F.
Basım Tarihi 2012-12-25
Basım Yeri - Elsevier
Konu Metaheuristics, Optimization, Birds’ migration, V-shape topology, Benefit mechanism
Tür Süreli Yayın
Dil İngilizce
Dijital Evet
Yazma Hayır
Kütüphane Özyeğin Üniversitesi
Demirbaş Numarası 0020-0255
Kayıt Numarası 08e47518-783f-43f4-b65e-0cd233c3f6cc
Lokasyon Industrial Engineering
Tarih 2012-12-25
Notlar Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Örnek Metin We propose a new nature inspired metaheuristic approach based on the V flight formation of the migrating birds which is proven to be an effective formation in energy saving. Its performance is tested on quadratic assignment problem instances arising from a real life problem and very good results are obtained. The quality of the solutions we report are better than simulated annealing, tabu search, genetic algorithm, scatter search, particle swarm optimization, differential evolution and guided evolutionary simulated annealing approaches. The proposed method is also tested on a number of benchmark problems obtained from the QAPLIB and in most cases it was able to obtain the best known solutions. These results indicate that our new metaheuristic approach could be an important player in metaheuristic based optimization.
DOI 10.1016/j.ins.2012.06.032
Cilt 217
Özyeğin Üniversitesi
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