Efficient algorithms for the uncapacitated single allocation p-hub median problem

1996 ◽  
Vol 4 (3) ◽  
pp. 139-154 ◽  
Author(s):  
Andreas T. Ernst ◽  
Mohan Krishnamoorthy
1992 ◽  
Vol 4 (4) ◽  
pp. 418-425 ◽  
Author(s):  
Hossam ElGindy ◽  
J. Mark Keil

Author(s):  
Fatima Zahraa Grine ◽  
Oulaid Kamach ◽  
Abdelhakim Khatab ◽  
Naoufal Sefiani

The present paper deals with a variant of hub location problems (HLP): the uncapacitated single allocation p-Hub median problem (USApHMP). This problem consists to jointly locate hub facilities and to allocate demand nodes to these selected facilities. The objective function is to minimize the routing of demands between any origin and destination pair of nodes. This problem is known to be NP-hard. Based on the artificial immune systems (AIS) framework, this paper develops a new approach to efficiently solve the USApHMP. The proposed approach is in the form of a clonal selection algorithm (CSA) that uses appropriate encoding schemes of solutions and maintains their feasibility. Comprehensive experiments and comparison of the proposed approach with other existing heuristics are conducted on benchmark from civil aeronautics board, Australian post, PlanetLab and Urand data sets. The results obtained allow to demonstrate the validity and the effectiveness of our approach. In terms of solution quality, the results obtained outperform the best-known solutions in the literature.


2016 ◽  
Vol 26 (03n04) ◽  
pp. 185-210
Author(s):  
Haitao Wang ◽  
Jingru Zhang

The (weighted) [Formula: see text]-median, [Formula: see text]-means, and [Formula: see text]-center problems in the plane are known to be NP-hard. In this paper, we study these problems with an additional constraint that requires the sought [Formula: see text] facilities to be on a given line. We present efficient algorithms for various distance measures such as [Formula: see text]. We assume that all [Formula: see text] weighted points are given sorted by their projections on the given line. For [Formula: see text]-median, our algorithms for [Formula: see text] and [Formula: see text] metrics run in [Formula: see text] time and [Formula: see text] time, respectively. For [Formula: see text]-means, which is defined only on the squared [Formula: see text] distance, we give an [Formula: see text] time algorithm. For [Formula: see text]-center, our algorithms run in [Formula: see text] time for all three metrics, and in [Formula: see text] time for the unweighted version under [Formula: see text] and [Formula: see text] metrics. While our results for the [Formula: see text]-center problem are optimal, the results for the [Formula: see text]-median problem almost match the best algorithms for the corresponding one-dimensional problems.


2009 ◽  
Vol 410 (8-10) ◽  
pp. 867-876 ◽  
Author(s):  
Chi-Yuan Chan ◽  
Shan-Chyun Ku ◽  
Chi-Jen Lu ◽  
Biing-Feng Wang

2010 ◽  
Vol 206 (2) ◽  
pp. 289-300 ◽  
Author(s):  
Aleksandar Ilić ◽  
Dragan Urošević ◽  
Jack Brimberg ◽  
Nenad Mladenović

2018 ◽  
Author(s):  
Gabriel L. Nobrega ◽  
Vinicius J. Tasso ◽  
Allan G. Souza ◽  
Stephanie A. Fernandez ◽  
Daniel G. Silva

Optimization problems such as the Uncapacitated Single-Allocation p-Hub Median Problem represent good models for real network design issues, hence an increasing research interest has emerged. A good hub location reduces costs and improves the quality of delivered services on network-based systems. In this work, two artificial immune systems are employed in order to address the problem, where the numerical results indicate good quality of solutions.


2019 ◽  
Vol 128 ◽  
pp. 477-491 ◽  
Author(s):  
Armin Lüer-Villagra ◽  
H.A. Eiselt ◽  
Vladimir Marianov

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