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Metaheuristics for the traveling salesman problem with pickups, deliveries and handling costs

İsim Metaheuristics for the traveling salesman problem with pickups, deliveries and handling costs
Yazar Erdoğan, Güneş, Battarra, M., Laporte, G., Vigo, D.
Basım Tarihi: 2012-05
Basım Yeri - Elsevier
Konu Traveling salesman problem, Handling cost, Pickup and delivery, Metaheuristics
Tür Süreli Yayın
Dil İngilizce
Dijital Evet
Yazma Hayır
Kütüphane: Özyeğin Üniversitesi
Demirbaş Numarası 0305-0548
Kayıt Numarası 473aa052-2894-4daa-bf9c-84d7a7c88a19
Lokasyon Industrial Engineering
Tarih 2012-05
Notlar Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Örnek Metin This paper studies the Traveling Salesman Problem with Pickups, Deliveries, and Handling Costs. The subproblem of minimizing the handling cost for a fixed route is analyzed in detail. It is solved by means of an exact dynamic programming algorithm with quadratic complexity and by an approximate linear time algorithm. Three metaheuristics integrating these solution methods are developed. These are based on tabu search, iterated local search and iterated tabu search. The three heuristics are tested and compared on instances adapted from the related literature. The results show that the combination of tabu search and exact dynamic programming performs the best, but using the approximate linear time algorithm considerably decreases the CPU time at the cost of slightly worse solutions.
DOI 10.1016/j.cor.2011.07.013
Cilt 39
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Metaheuristics for the traveling salesman problem with pickups, deliveries and handling costs

Yazar Erdoğan, Güneş, Battarra, M., Laporte, G., Vigo, D.
Basım Tarihi 2012-05
Basım Yeri - Elsevier
Konu Traveling salesman problem, Handling cost, Pickup and delivery, Metaheuristics
Tür Süreli Yayın
Dil İngilizce
Dijital Evet
Yazma Hayır
Kütüphane Özyeğin Üniversitesi
Demirbaş Numarası 0305-0548
Kayıt Numarası 473aa052-2894-4daa-bf9c-84d7a7c88a19
Lokasyon Industrial Engineering
Tarih 2012-05
Notlar Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Örnek Metin This paper studies the Traveling Salesman Problem with Pickups, Deliveries, and Handling Costs. The subproblem of minimizing the handling cost for a fixed route is analyzed in detail. It is solved by means of an exact dynamic programming algorithm with quadratic complexity and by an approximate linear time algorithm. Three metaheuristics integrating these solution methods are developed. These are based on tabu search, iterated local search and iterated tabu search. The three heuristics are tested and compared on instances adapted from the related literature. The results show that the combination of tabu search and exact dynamic programming performs the best, but using the approximate linear time algorithm considerably decreases the CPU time at the cost of slightly worse solutions.
DOI 10.1016/j.cor.2011.07.013
Cilt 39
Özyeğin Üniversitesi
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