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  • Articles  (69)
  • Springer  (69)
  • 2010-2014  (69)
  • 2012  (69)
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  • Articles  (69)
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  • Springer  (69)
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  • 2010-2014  (69)
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  • 1
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    Springer
    In: 4OR
    Publication Date: 2012-11-22
    Description: The stable set problem: some structural properties and relaxations Content Type Journal Article Category PhD Thesis Pages 1-2 DOI 10.1007/s10288-012-0218-8 Authors Carla Michini, IFOR, ETH Zürich, Rämistrasse 101, 8092 Zürich, Switzerland Journal 4OR: A Quarterly Journal of Operations Research Online ISSN 1614-2411 Print ISSN 1619-4500
    Print ISSN: 1619-4500
    Electronic ISSN: 1614-2411
    Topics: Mathematics
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  • 2
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    Springer
    In: 4OR
    Publication Date: 2012-11-10
    Description:    This is a summary of my PhD thesis supervised by Walid Ben-Ameur and defended on September 29 2009, at Télécom SudParis. The thesis is written in French language and is available from the author upon request at makhlouf.hadji@it-sudparis.eu. Content Type Journal Article Category PhD Thesis Pages 1-2 DOI 10.1007/s10288-012-0216-x Authors Makhlouf Hadji, Institut Mines-Telecom, Télécom SudParis, SAMOVAR, CNRS (UMR 5157), 09, Rue Charles Fourier, 91010 Evry, France Journal 4OR: A Quarterly Journal of Operations Research Online ISSN 1614-2411 Print ISSN 1619-4500
    Print ISSN: 1619-4500
    Electronic ISSN: 1614-2411
    Topics: Mathematics
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  • 3
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    Springer
    In: 4OR
    Publication Date: 2012-11-10
    Description:    We introduce a new model for robust combinatorial optimization where the uncertain parameters belong to the image of multifunctions of the problem variables. In particular, we study the variable budgeted uncertainty, an extension of the budgeted uncertainty introduced by Bertsimas and Sim. Variable budgeted uncertainty can provide the same probabilistic guarantee as the budgeted uncertainty while being less conservative for vectors with few non-zero components. The feasibility set of the resulting optimization problem is in general non-convex so that we propose a mixed-integer programming reformulation for the problem, based on the dualization technique often used in robust linear programming. We show how to extend these results to non-binary variables and to more general multifunctions involving uncertainty set defined by conic constraints that are affine in the problem variables. We present a computational comparison of the budgeted uncertainty and the variable budgeted uncertainty on the robust knapsack problem. The experiments show a reduction of the price of robustness by an average factor of 18 %. Content Type Journal Article Category Research Paper Pages 1-18 DOI 10.1007/s10288-012-0217-9 Authors Michael Poss, UMR CNRS 7253 Heudiasyc, Centre de Recherches de Royallieu, Université de Technologie de Compiègne, 60200 Compiègne, France Journal 4OR: A Quarterly Journal of Operations Research Online ISSN 1614-2411 Print ISSN 1619-4500
    Print ISSN: 1619-4500
    Electronic ISSN: 1614-2411
    Topics: Mathematics
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  • 4
    Publication Date: 2012-10-16
    Description:    This paper deals with stability analysis in multi-objective combinatorial optimization problems. The stability radius of an efficient solution is defined as the maximal adjustment of the problem parameters such that this solution remains efficient. An algorithm based on inverse optimization is proposed to compute it. The adjustment is limited to the coefficients of the objective functions and measured by the Chebyshev norm. This approach is applied to randomly generated instances of the bi-objective knapsack problem and computational results are reported. Several illustrative examples are analyzed. Content Type Journal Article Category Research Paper Pages 1-11 DOI 10.1007/s10288-012-0215-y Authors Julien Roland, CoDE-SMG, Service de Mathématiques de la Gestion, Ecole Polytechnique de Bruxelles, Université Libre de Bruxelles, Boulevard du Triomphe CP 210-01, 1050 Brussels, Belgium Yves De Smet, CoDE-SMG, Service de Mathématiques de la Gestion, Ecole Polytechnique de Bruxelles, Université Libre de Bruxelles, Boulevard du Triomphe CP 210-01, 1050 Brussels, Belgium José Rui Figueira, CEG-IST, Instituto Superior Técnico, Technical University of Lisbon, Av. Rovisco Pais, 1049-001 Lisboa, Portugal Journal 4OR: A Quarterly Journal of Operations Research Online ISSN 1614-2411 Print ISSN 1619-4500
    Print ISSN: 1619-4500
    Electronic ISSN: 1614-2411
    Topics: Mathematics
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  • 5
    Publication Date: 2012-10-08
    Description:    The comparison of independent random variables can be modeled by a set of dice and a reciprocal relation expressing the winning probability of one dice over another. It is well known that dice transitivity is a necessary 3-cycle condition for a reciprocal relation to be dice representable, i.e. to be the winning probability relation of a set of dice. Although this 3-cycle condition is sufficient for a rational-valued reciprocal relation on a set of three elements to be dice representable, it has been shown that this is no longer the case for sets consisting of four or more elements. In this contribution, we provide a necessary 4-cycle condition for dice representability of reciprocal relations. Moreover, we show that our condition is sufficient in the sense that a given rational-weighted 4-cycle and reciprocally weighted inverse cycle, both fulfilling the 4-cycle condition, can be extended to a winning probability graph representing a dice-representable reciprocal relation on four elements. Content Type Journal Article Category Research Paper Pages 1-20 DOI 10.1007/s10288-012-0214-z Authors K. De Loof, Department of Mathematical Modelling, Statistics and Bioinformatics, Ghent University, Coupure links 653, 9000 Gent, Belgium B. De Baets, Department of Mathematical Modelling, Statistics and Bioinformatics, Ghent University, Coupure links 653, 9000 Gent, Belgium H. De Meyer, Department of Applied Mathematics and Computer Science, Ghent University, Krijgslaan 281 S9, 9000 Gent, Belgium Journal 4OR: A Quarterly Journal of Operations Research Online ISSN 1614-2411 Print ISSN 1619-4500
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    Electronic ISSN: 1614-2411
    Topics: Mathematics
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  • 6
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    Springer
    In: 4OR
    Publication Date: 2012-10-08
    Description:    This paper is devoted to pricing optimization problems which can be modeled as bilevel programs. We present the main concepts, models and solution methods for this class of optimization problems. Content Type Journal Article Category Invited Survey Pages 1-30 DOI 10.1007/s10288-012-0213-0 Authors Martine Labbé, Départment d’Informatique, Université Libre de Bruxelles, Boulevard du Triomphe, CP 210/01, 1050 Brussels, Belgium Alessia Violin, Départment d’Informatique, Université Libre de Bruxelles, Boulevard du Triomphe, CP 210/01, 1050 Brussels, Belgium Journal 4OR: A Quarterly Journal of Operations Research Online ISSN 1614-2411 Print ISSN 1619-4500
    Print ISSN: 1619-4500
    Electronic ISSN: 1614-2411
    Topics: Mathematics
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  • 7
    Publication Date: 2012-10-01
    Description:    In this paper, we propose a two-dimensional shelf space allocation model. The second dimension stems from the height of the shelf. This results in an integer nonlinear programming model with a complex form of objective function. We propose a multiple neighborhood approach which is a hybridization of a simulated annealing algorithm with a hyper-heuristic learning mechanism. Experiments based on empirical data from both real-world and artificial instances show that the shelf space utilization and the resulting sales can be greatly improved when compared with a gradient method. Sensitivity analysis on the input parameters and the shelf space show the benefits of the proposed algorithm both in sales and in robustness. Content Type Journal Article Category Research Paper Pages 1-25 DOI 10.1007/s10288-012-0211-2 Authors Ruibin Bai, Department of Computer Science, University of Nottingham Ningbo China, 199 Taikang East Road, Ningbo, 315100 China Tom van Woensel, School of Industrial Engineering, Technische Universiteit Eindhoven, Den Dolech 2, Pav. F05, 5600 MB Eindhoven, The Netherlands Graham Kendall, School of Computer Science, University of Nottingham, Nottingham, UK Edmund K. Burke, Department of Computing Science and Mathematics, University of Stirling, Cottrell Building, Stirling, FK9 4LA UK Journal 4OR: A Quarterly Journal of Operations Research Online ISSN 1614-2411 Print ISSN 1619-4500
    Print ISSN: 1619-4500
    Electronic ISSN: 1614-2411
    Topics: Mathematics
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  • 8
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    Springer
    In: 4OR
    Publication Date: 2012-09-20
    Description:    A travelling deliveryman needs to find a tour such that the total waiting time of all the customers he has to visit is minimum. The deliveryman starts his tour at a depot, travelling at constant velocity. In this paper we suggest a general variable neighborhood search based heuristic to solve this NP-hard combinatorial optimization problem. We combine several classical neighborhood structures and design data structure to store and update the incumbent solution efficiently. In this way, we are able to explore neighborhoods as efficiently as when solving the travelling salesman problem. Computational results obtained on usual test instances show that our approach outperforms recent heuristics from the literature. Content Type Journal Article Category Research Paper Pages 1-17 DOI 10.1007/s10288-012-0212-1 Authors Nenad Mladenović, School of Mathematics, Brunel University, Uxbridge, UK Dragan Urošević, Mathematical Institute, Belgrade, Serbia Saïd Hanafi, LAMIH-Université de Valenciennes, Valenciennes, France Journal 4OR: A Quarterly Journal of Operations Research Online ISSN 1614-2411 Print ISSN 1619-4500
    Print ISSN: 1619-4500
    Electronic ISSN: 1614-2411
    Topics: Mathematics
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  • 9
    Publication Date: 2012-08-13
    Description:    In this paper we study unobservable Markovian queueing systems with three types of setup/closedown policies: interruptible, skippable and insusceptible setup/closedown policies, respectively. For a system with the interruptible setup/closedown policy, service starts as soon as a customer arrives during a closedown time; However, for a system with the skippable setup/closedown policy, customers arriving in a closedown time (if any) can be served only after the closedown time finishes and the following setup time can be skipped; Then for a system with the insusceptible setup/closedown policy, customers arriving in a closedown time can’t be served until the following setup time finishes. We assume that customers need a price for service, and derive the equilibrium and socially optimal balking strategies for customers as well as the maximal social welfare. Then we make pricing control to motivate customers to adopt the optimal strategies and obtain an appropriate price that also maximizes server’s profit. Moreover, we numerically make some comparisons between the various performance measures. Content Type Journal Article Category Research Paper Pages 1-25 DOI 10.1007/s10288-012-0209-9 Authors Wei Sun, School of Economics and Management, Yanshan University, Qinhuangdao, 066004 China Yulan Wang, Institute of Textiles and Clothing, Hong Kong Polytechnic University, Kowloon, Hong Kong Naishuo Tian, College of Science, Yanshan University, Qinhuangdao, China Journal 4OR: A Quarterly Journal of Operations Research Online ISSN 1614-2411 Print ISSN 1619-4500
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    Topics: Mathematics
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  • 10
    Publication Date: 2012-08-13
    Description:    Semidefinite optimization is a strong tool in the study of NP-hard combinatorial optimization problems. On the one hand, semidefinite optimization problems are in principle solvable in polynomial time (with fixed precision), on the other hand, their modeling power allows to naturally handle quadratic constraints. Contrary to linear optimization with the efficiency of the Simplex method, the algorithmic treatment of semidefinite problems is much more subtle and also practically quite expensive. This survey-type article is meant as an introduction for a non-expert to this exciting area. The basic concepts are explained on a mostly intuitive level, and pointers to advanced topics are given. We provide a variety of semidefinite optimization models on a selection of graph optimization problems and give a flavour of their practical impact. Content Type Journal Article Category Invited Survey Pages 1-26 DOI 10.1007/s10288-012-0210-3 Authors F. Rendl, Institut für Mathematik, Alpen-Adria Universität Klagenfurt, 9020 Klagenfurt, Austria Journal 4OR: A Quarterly Journal of Operations Research Online ISSN 1614-2411 Print ISSN 1619-4500
    Print ISSN: 1619-4500
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    Topics: Mathematics
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