Preface: Introducing operations research trends at CLAIO XVIII.
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- Annals of Operations Research, 2020, v. 286, n. 1/2, p. 1, doi. 10.1007/s10479-019-03510-w
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Works matching IS 02545330 AND DT 2020 AND VI 286 AND IP 1/2
Results: 31
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An ADMM algorithm for two-stage stochastic programming problems.
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- Annals of Operations Research, 2020, v. 286, n. 1/2, p. 559, doi. 10.1007/s10479-019-03471-0
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3
Combined maintenance and routing optimization for large-scale sewage cleaning.
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- Annals of Operations Research, 2020, v. 286, n. 1/2, p. 441, doi. 10.1007/s10479-019-03342-8
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4
An analytics approach to the FIFA ranking procedure and the World Cup final draw.
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- Annals of Operations Research, 2020, v. 286, n. 1/2, p. 119, doi. 10.1007/s10479-019-03261-8
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5
Integrated versus hierarchical approach for zone delineation and crop planning under uncertainty.
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- Annals of Operations Research, 2020, v. 286, n. 1/2, p. 617, doi. 10.1007/s10479-019-03198-y
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6
A two-level evolutionary algorithm for solving the petrol station replenishment problem with periodicity constraints and service choice.
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- Annals of Operations Research, 2020, v. 286, n. 1/2, p. 325, doi. 10.1007/s10479-018-3117-3
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7
Assessment of the technical efficiency of Brazilian logistic operators using data envelopment analysis and one inflated beta regression.
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- Annals of Operations Research, 2020, v. 286, n. 1/2, p. 703, doi. 10.1007/s10479-018-3105-7
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8
Production planning and scheduling optimization model: a case of study for a glass container company.
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- Annals of Operations Research, 2020, v. 286, n. 1/2, p. 529, doi. 10.1007/s10479-018-3099-1
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9
Strong RLT1 bounds from decomposable Lagrangean relaxation for some quadratic 0–1 optimization problems with linear constraints.
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- Annals of Operations Research, 2020, v. 286, n. 1/2, p. 173, doi. 10.1007/s10479-018-3092-8
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10
Appointment and patient scheduling in chemotherapy: a case study in Chilean hospitals.
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- Annals of Operations Research, 2020, v. 286, n. 1/2, p. 411, doi. 10.1007/s10479-018-3085-7
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11
Interior/exterior-point methods with inertia correction strategy for solving optimal reactive power flow problems with discrete variables.
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- Annals of Operations Research, 2020, v. 286, n. 1/2, p. 243, doi. 10.1007/s10479-018-3012-y
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12
Operating room scheduling under waiting time constraints: the Chilean GES plan.
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- Annals of Operations Research, 2020, v. 286, n. 1/2, p. 501, doi. 10.1007/s10479-018-3008-7
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13
Reliable maximin–maxisum locations for maximum service availability on tree networks vulnerable to disruptions.
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- Annals of Operations Research, 2020, v. 286, n. 1/2, p. 669, doi. 10.1007/s10479-018-2993-x
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14
An exact algorithm for the edge coloring by total labeling problem.
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- Annals of Operations Research, 2020, v. 286, n. 1/2, p. 11, doi. 10.1007/s10479-018-2977-x
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15
Best pricing and optimal policy for an inventory system under time-and-price-dependent demand and backordering.
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- Annals of Operations Research, 2020, v. 286, n. 1/2, p. 351, doi. 10.1007/s10479-018-2953-5
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16
Efficient algorithms of pathwise dynamic programming for decision optimization in mining operations.
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- Annals of Operations Research, 2020, v. 286, n. 1/2, p. 583, doi. 10.1007/s10479-018-2910-3
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17
A real options approach for joint overhaul and replacement strategies with mean reverting prices.
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- Annals of Operations Research, 2020, v. 286, n. 1/2, p. 303, doi. 10.1007/s10479-018-2906-z
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18
Dealing with missing information in data envelopment analysis by means of low-rank matrix completion.
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- Annals of Operations Research, 2020, v. 286, n. 1/2, p. 719, doi. 10.1007/s10479-018-2885-0
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19
An overview of MINLP algorithms and their implementation in Muriqui Optimizer.
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- Annals of Operations Research, 2020, v. 286, n. 1/2, p. 217, doi. 10.1007/s10479-018-2872-5
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20
Optimal size of a rental inventory with items available from a secondary source: a model with non-stationary probabilities.
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- Annals of Operations Research, 2020, v. 286, n. 1/2, p. 371, doi. 10.1007/s10479-018-2841-z
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21
Multi-depot traveling salesmen location problems on networks with special structure.
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- Annals of Operations Research, 2020, v. 286, n. 1/2, p. 635, doi. 10.1007/s10479-018-2812-4
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22
Multicriteria saliency detection: a (exact) robust network design approach.
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- Annals of Operations Research, 2020, v. 286, n. 1/2, p. 649, doi. 10.1007/s10479-018-2801-7
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23
Efficient approaches for the Flooding Problem on graphs.
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- Annals of Operations Research, 2020, v. 286, n. 1/2, p. 33, doi. 10.1007/s10479-018-2796-0
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24
The sociotechnical teams formation problem: a mathematical optimization approach.
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- Annals of Operations Research, 2020, v. 286, n. 1/2, p. 201, doi. 10.1007/s10479-018-2759-5
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25
MTZ-primal-dual model, cutting-plane, and combinatorial branch-and-bound for shortest paths avoiding negative cycles.
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- Annals of Operations Research, 2020, v. 286, n. 1/2, p. 147, doi. 10.1007/s10479-017-2743-5
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26
A hybrid K-means and integer programming method for commercial territory design: a case study in meat distribution.
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- Annals of Operations Research, 2020, v. 286, n. 1/2, p. 87, doi. 10.1007/s10479-017-2742-6
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27
A dynamic programming-based matheuristic for the dynamic berth allocation problem.
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- Annals of Operations Research, 2020, v. 286, n. 1/2, p. 391, doi. 10.1007/s10479-017-2715-9
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28
Neighborhood covering and independence on P4-tidy graphs and tree-cographs.
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- Annals of Operations Research, 2020, v. 286, n. 1/2, p. 55, doi. 10.1007/s10479-017-2712-z
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29
Mixed-model assembly lines balancing with given buffers and product sequence: model, formulation comparisons, and case study.
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- Annals of Operations Research, 2020, v. 286, n. 1/2, p. 475, doi. 10.1007/s10479-017-2711-0
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30
A decomposition algorithm for computing income taxes with pass-through entities and its application to the Chilean case.
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- Annals of Operations Research, 2020, v. 286, n. 1/2, p. 545, doi. 10.1007/s10479-017-2707-9
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31
A multiproduct single machine economic production quantity (EPQ) inventory model with discrete delivery order, joint production policy and budget constraints.
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- Annals of Operations Research, 2020, v. 286, n. 1/2, p. 265, doi. 10.1007/s10479-017-2650-9
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