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  3. Discrete Optimization
  4. 2015
Showing papers in "Discrete Optimization in 2015"
Journal Article•10.1016/J.DISOPT.2014.11.002•
The hypergraph assignment problem

[...]

Ralf Borndörfer1, Olga Heismann1•
Zuse Institute Berlin1
01 Feb 2015-Discrete Optimization
TL;DR: It is shown that an algorithmically tractable model providing a strong LP relaxation which implies all clique inequalities can be derived from a suitable extended formulation of polynomial size.

29 citations

Journal Article•10.1016/J.DISOPT.2015.02.001•
Bounded serial-batching scheduling for minimizing maximum lateness and makespan

[...]

Cheng He1, Hao Lin1, Yixun Lin2•
Henan University of Technology1, Zhengzhou University2
01 May 2015-Discrete Optimization
TL;DR: This paper obtains an O ( n 6 ) -time algorithm to find all Pareto optimal solutions of the bicriteria scheduling problem and solves the open problem of minimizing maximum lateness on the single bounded serial-batching machine.

22 citations

Journal Article•10.1016/J.DISOPT.2015.01.001•
Min-max cover of a graph with a small number of parts

[...]

Boaz Farbstein1, Asaf Levin1•
Technion – Israel Institute of Technology1
01 May 2015-Discrete Optimization
TL;DR: New approximation algorithms with FPT time are presented which improve the known approximation guarantees for vehicle routing problems and aim to minimize the longest distance traveled by a vehicle denoted by λ.

18 citations

Journal Article•10.1016/J.DISOPT.2015.08.001•
Edge criticality in secure graph domination

[...]

Alewyn P. Burger1, A.P. de Villiers1, JH van Vuuren1•
Stellenbosch University1
01 Nov 2015-Discrete Optimization
TL;DR: This paper characterise q-critical graphs for all admissible values ofq and determine the exact values of q for which members of various infinite classes of graphs are q- critical.

15 citations

Journal Article•10.1016/J.DISOPT.2014.12.003•
On the relative strength of different generalizations of split-cuts

[...]

Sanjeeb Dash1, Oktay Günlük1, Marco Molinaro2•
IBM1, Georgia Institute of Technology2
01 May 2015-Discrete Optimization
TL;DR: A complete containment relationship between the closures of split, rank-2 split, cross, crooked cross and general multi-br branch split cuts is presented and it is shown that 3-branch split cuts strictly dominate crooked cross cuts, which in turn strictly dominate cross cuts.

15 citations

Journal Article•10.1016/J.DISOPT.2015.03.001•
Embedding hypercubes and folded hypercubes onto Cartesian product of certain trees

[...]

Micheal Arockiaraj1, Jasintha Quadras2, Indra Rajasingh3, Arul Jeya Shalini2•
Loyola College, Chennai1, Stella Maris College2, VIT University3
01 Aug 2015-Discrete Optimization
TL;DR: This paper embeds hypercube and folded hypercube onto Cartesian product of trees such as 1-rooted complete binary tree and path, sibling tree and Path to minimize the wirelength.

11 citations

Journal Article•10.1016/J.DISOPT.2015.09.007•
The multi-band robust knapsack problem-A dynamic programming approach

[...]

Grit Claßen, Arie M. C. A. Koster1, Anke Schmeink1•
RWTH Aachen University1
01 Nov 2015-Discrete Optimization
TL;DR: This paper considers the multi-band robust knapsack problem which generalizes the ?

8 citations

Journal Article•10.1016/J.DISOPT.2015.01.002•
Advances on defective parameters in graphs

[...]

Ahu Akdemir1, Tınaz Ekim1•
Boğaziçi University1
01 May 2015-Discrete Optimization
TL;DR: The first tableaux for defective Ramsey numbers are constructed with exact values whenever it is known, and lower and upper bounds otherwise, in light of defective cocoloring problem which consists of partitioning the vertex set of a given graph into k -sparse and k -dense sets.

8 citations

Journal Article•10.1016/J.DISOPT.2014.11.001•
Clique partitioning with value-monotone submodular cost

[...]

José R. Correa1, Nicole Megow2•
University of Chile1, Technical University of Berlin2
01 Feb 2015-Discrete Optimization
TL;DR: A general algorithmic solution based on solving the problem variant without the cardinality constraint is presented and constant factor approximations depending on the solvability of this relaxation are obtained for a large class of submodular cost functions which are called value-monotone sub modular functions.

8 citations

Journal Article•10.1016/J.DISOPT.2014.08.002•
On the separation of split inequalities for non-convex quadratic integer programming

[...]

Christoph Buchheim1, Emiliano Traversi2•
Technical University of Dortmund1, University of Paris2
01 Feb 2015-Discrete Optimization
TL;DR: For small instances with box-constraints, it is shown that the resulting dual bounds are very tight; they can close a large percentage of the gap left open by both the RLT- and the SDP-relaxations of the problem.

8 citations

Journal Article•10.1016/J.DISOPT.2015.05.002•
The median game

[...]

Manoj Changat1, Divya Sindhu Lekha2, Iztok Peterin, Ajitha R. Subhamathi, Simon Špacapan3 •
University of Kerala1, College of Engineering and Management, Kolaghat2, University of Maribor3
01 Aug 2015-Discrete Optimization
TL;DR: It is proved that for hypercubes and some other symmetric graphs the player I I has a strategy to draw the game and complete bipartite graphs are considered as well.
Journal Article•10.1016/J.DISOPT.2014.12.001•
Approximating convex functions via non-convex oracles under the relative noise model

[...]

Nir Halman1•
Hebrew University of Jerusalem1
01 May 2015-Discrete Optimization
TL;DR: This work shows how to construct a succinct representation, namely a piecewise-linear function φ approximating φ when given a black box access to an L -approximation oracle φ of φ (the oracle value is always within a multiplicative factor L from the true value).
Journal Article•10.1016/J.DISOPT.2015.02.003•
Local search inequalities

[...]

Giuseppe Lancia1, Franca Rinaldi1, Paolo Serafini1•
University of Udine1
01 May 2015-Discrete Optimization
TL;DR: A general method for deriving new inequalities for integer programming formulations of combinatorial optimization problems, motivated by local search algorithms, that can help in either pruning the search tree at some nodes or in improving the bound of the LP relaxations.
Journal Article•10.1016/J.DISOPT.2015.06.001•
The weighted 2-metric dimension of trees in the non-landmarks model

[...]

Ron Adar1, Leah Epstein1•
University of Haifa1
01 Aug 2015-Discrete Optimization
TL;DR: The structure of landmark sets for trees is analyzed and a linear time algorithm for finding a minimum cost landmark set for a given tree graph is designed.
Journal Article•10.1016/J.DISOPT.2014.10.001•
Scheduling on uniform processors with at most one downtime on each machine

[...]

Liliana Grigoriu, Donald K. Friesen1•
Texas A&M University1
01 Aug 2015-Discrete Optimization
TL;DR: A simple polynomial MULTIFIT-based algorithm, the schedules of which finish within 1.5 times the maximum between the latest end of a downtime and the end of the optimal schedule, when there is at most one downtime on each machine.
Journal Article•10.1016/j.disopt.2016.08.002•
On the k-limited packing numbers in graphs

[...]

Babak Samadi1•
University of Mazandaran1
04 Jan 2015-Discrete Optimization
Journal Article•10.1016/J.DISOPT.2015.03.003•
Valid inequalities for the multi-dimensional multiple-choice 0-1 knapsack problem

[...]

Elif Ilke Gokce1, Wilbert E. Wilhelm1•
Texas A&M University1
01 Aug 2015-Discrete Optimization
TL;DR: A study of the polytope defined by the minimizing form of the binary knapsack inequality, which is a greater-than-or-equal-to constraint, augmented by disjoint generalized upper bound constraints, and a set of valid inequalities called α -cover inequalities are characterized and dominance relationships among them are established.
Journal Article•10.1016/J.DISOPT.2015.05.001•
Single-machine scheduling with supporting tasks

[...]

Alexander V. Kononov1, Bertrand M.T. Lin2, Kuei-Tang Fang2•
Russian Academy of Sciences1, National Chiao Tung University2
01 Aug 2015-Discrete Optimization
TL;DR: This study adds new complexity results to the two standard objective functions under precedence constraints by discussing the complexities of several special cases for the number of late jobs and the total weighted completion time.
Journal Article•10.1016/J.DISOPT.2015.09.001•
Arc-based integer programming formulations for three variants of proportional symbol maps

[...]

Rafael G. Cano1, Cid C. de Souza1, Pedro J. de Rezende1, Tallys Yunes2•
State University of Campinas1, University of Miami2
01 Nov 2015-Discrete Optimization
TL;DR: A new formulation is described to create optimal proportional symbol maps that maximizes one of two quality metrics: the total and the minimum visible length of disk boundaries.
Journal Article•10.1016/J.DISOPT.2015.09.006•
Shortest path algorithms for functional environments

[...]

Louis Boguchwal
01 Nov 2015-Discrete Optimization
TL;DR: This research generalises classic shortest path algorithms to network environments in which arc-costs are governed by functions, rather than fixed weights, and shows that the asymptotic efficiency of these algorithms is identical to their classic counterparts.
Journal Article•10.1016/J.DISOPT.2014.12.002•
Valid inequalities for the single arc design problem with set-ups

[...]

Agostinho Agra1, Mahdi Doostmohammadi1, Quentin Louveaux2•
University of Aveiro1, University of Liège2
01 May 2015-Discrete Optimization
TL;DR: A mixed integer set which generalizes two well-known sets: the single node fixed-charge network set and the single arc design set is considered and several families of valid inequalities are derived that generalize the arc residual capacity inequalities and the flow cover inequalities.
Journal Article•10.1016/J.DISOPT.2015.05.003•
Multi-commodity variable upper bound flow models

[...]

D.L. Burchett1, Jean-Philippe P. Richard1•
University of Florida1
01 Aug 2015-Discrete Optimization
TL;DR: A polyhedral study of a multi-commodity generalization of variable upper bound flow models is performed and a new family of inequalities is introduced, which generalizes traditional flow cover inequalities to the multi- commodity context.
Journal Article•10.1016/J.DISOPT.2015.04.001•
Circuit and bond polytopes on series-parallel graphs

[...]

Sylvie Borne1, Pierre Fouilhoux2, Roland Grappe1, Mathieu Lacroix1, Pierre Pesneau3 •
University of Paris1, Pierre-and-Marie-Curie University2, University of Bordeaux3
01 Aug 2015-Discrete Optimization
TL;DR: In this paper, the authors describe the circuit polytope on series-parallel graphs and show the existence of a compact extended formulation of the circuit on planar graphs, which is based on the link between bonds and circuits.
Journal Article•10.1016/J.DISOPT.2015.09.002•
Time-dependent optimization of a multi-item uncertain supply chain network

[...]

S. Ahmad Hosseini1•
Umeå University1
01 Nov 2015-Discrete Optimization
TL;DR: This work uses the scaling idea together with transformation approach and uncertainty programming to develop a hybrid algorithm to optimize and obtain the uncertainty distribution of the total shipping cost.
Journal Article•10.1016/J.DISOPT.2015.07.003•
Supermodular covering knapsack polytope

[...]

Alper Atamtürk1, Avinash Bhardwaj1•
University of California, Berkeley1
01 Nov 2015-Discrete Optimization
TL;DR: This paper describes pack inequalities for the supermodular covering knapsack set and investigates their separation, extensions and lifting, and presents a computational study on using the polyhedral results derived for solving 0–1 optimization problems over conic quadratic constraints with a branch-and-cut algorithm.
Journal Article•10.1016/J.DISOPT.2014.11.003•
A note on constraint aggregation and value functions for two-stage stochastic integer programs

[...]

Andrew C. Trapp1, Oleg A. Prokopyev2•
Worcester Polytechnic Institute1, University of Pittsburgh2
01 Feb 2015-Discrete Optimization
TL;DR: A class of two-stage stochastic integer programs and their equivalent reformulation that uses the integer programming value functions in both stages that potentially alleviates this limitation of constraint-aggregation based approach.
Journal Article•10.1016/J.DISOPT.2015.07.001•
L-extendable functions and a proximity scaling algorithm for minimum cost multiflow problem

[...]

Hiroshi Hirai1•
University of Tokyo1
01 Nov 2015-Discrete Optimization
TL;DR: The algorithm is designed to solve a more general class of multiflow problems, minimum cost node-demand multiflow problem, and is the first combinatorial polynomial time algorithm to this class of problems.
Journal Article•10.1016/J.DISOPT.2015.10.001•
Intersection cutsstandard versus restricted

[...]

Egon Balas1, T. Kis•
Carnegie Mellon University1
01 Nov 2015-Discrete Optimization
TL;DR: This note is meant to elucidate the difference between intersection cut as originally defined, and intersection cuts as defined in the more recent literature.
Journal Article•10.1016/J.DISOPT.2015.07.004•
Metric inequalities for routings on direct connections with application to line planning

[...]

Ralf Borndörfer1, Marika Karbstein1•
Zuse Institute Berlin1
01 Nov 2015-Discrete Optimization
TL;DR: A feasibility condition is derived for path capacities supporting such direct connection flows similar to the well-known feasibility condition for arc capacities in ordinary multi-commodity flows.
Journal Article•10.1016/J.DISOPT.2015.10.002•
An exact solution method for quadratic matching

[...]

Laura Klein1, Frauke Liers2•
Technical University of Dortmund1, University of Erlangen-Nuremberg2
01 Nov 2015-Discrete Optimization
TL;DR: This work strengthens the linearised IP-formulation by cutting planes that are derived from facets of the corresponding matching problem where only one quadratic term is present in the objective function (QMP1) by adopting the reformulation linearisation technique (RLT).

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