Search results for "integer programming"

showing 9 items of 69 documents

The Multi-period Multi-trip Container Drayage Problem with Release and Due Dates

2021

Abstract The Container Drayage Problem (CDP) aims at routing a fleet of trucks, based at a common terminal, to serve customers while minimizing the total travel distance. Each trip starts from and ends at the terminal, and handles a subset of customers. Each customer requires either that a container is picked up or delivered. We introduce a more realistic variant, i.e., the Multi-trip Multi-period CDP with Release and Due Dates (MM-CDP-RDD), in which the planning horizon is composed of several periods (days). On each day, each truck may perform more than one trip respecting the Release and Due Dates (RDD) associated with customer services, corresponding to the first and the last day on whic…

TruckService (business)Routing Multi-trip Vehicle Routing Multi-period Vehicle Routing Combinatorial Benders’ CutsGeneral Computer ScienceOperations researchComputer scienceVehicle routing problem Alternative fuel vehicles Mixed integer linear programming Cutting planes Fueling pump reservationTime horizonManagement Science and Operations ResearchMulti-trip Vehicle RoutingMulti-period Vehicle RoutingSet (abstract data type)Terminal (electronics)Modeling and SimulationContainer (abstract data type)Combinatorial Benders’ CutsSettore MAT/09 - Ricerca OperativaRouting (electronic design automation)Integer programmingRoutingComputers & Operations Research
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Decorous combinatorial lower bounds for row layout problems

2020

Abstract In this paper we consider the Double-Row Facility Layout Problem (DRFLP). Given a set of departments and pairwise transport weights between them the DRFLP asks for a non-overlapping arrangement of the departments along both sides of a common path such that the weighted sum of the center-to-center distances between the departments is minimized. Despite its broad applicability in factory planning, only small instances can be solved to optimality in reasonable time. Apart from this even deriving good lower bounds using existing integer programming formulations and branch-and-cut methods is a challenging problem. We focus here on deriving combinatorial lower bounds which can be compute…

0209 industrial biotechnologyMathematical optimization021103 operations researchInformation Systems and ManagementGeneral Computer ScienceLinear programmingComputer scienceHeuristicConnection (vector bundle)0211 other engineering and technologies02 engineering and technologyManagement Science and Operations ResearchStar (graph theory)Industrial and Manufacturing EngineeringSet (abstract data type)020901 industrial engineering & automationModeling and SimulationFactory (object-oriented programming)Pairwise comparisonFocus (optics)Integer programmingEuropean Journal of Operational Research
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A comprehensive tool for efficient design and operation of polygeneration-based energy μgrids serving a cluster of buildings. Part I: Description of …

2013

Polygeneration systems with thermal energy storage represent promising solutions to achieve energy saving and emissions reduction in the civil sector. The definition of customer-oriented design and operation strategies represents a most challenging task, in order to maximize the profitability and make the investment attractive. A large potential is often recognized for the installation of centralized plants serving a cluster of buildings located over a small area; in such cases the design problem becomes extremely complex and the analyst needs reliable instruments to identify the optimal solution. This paper in two parts presents a scientific tool for the optimization of design and operatio…

Engineeringbusiness.industryMechanical EngineeringTariffPolygeneration Energy saving Profitability Optimization tool Micro-grid EfficiencyBuilding and ConstructionManagement Monitoring Policy and LawThermal energy storageGridIndustrial engineeringReduction (complexity)General EnergyRobustness (computer science)Settore ING-IND/10 - Fisica Tecnica IndustrialeProfitability indexElectricitybusinessInteger programmingSimulationApplied Energy
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Variable Fixing for Two-Arc Sequences in Branch-Price-and-Cut Algorithms on Path-Based Models

2020

Variable fixing by reduced costs is a popular technique for accelerating the solution process of mixed-integer linear programs. For vehicle-routing problems solved by branch-price-and-cut algorithms, it is possible to fix to zero the variables associated with all routes containing at least one arc from a subset of arcs determined according to the dual solution of a linear relaxation. This is equivalent to removing these arcs from the network used to generate the routes. In this paper, we extend this technique to routes containing sequences of two arcs. Such sequences or their arcs cannot be removed directly from the network because routes traversing only one arc of a sequence might still b…

050210 logistics & transportation021103 operations researchComputer science05 social sciences0211 other engineering and technologiesTransportation02 engineering and technologyArc (geometry)Variable (computer science)0502 economics and businessPath (graph theory)Vehicle routing problemAlgorithmInteger programmingCivil and Structural EngineeringTransportation Science
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A more efficient cutting planes approach for the green vehicle routing problem with capacitated alternative fuel stations

2021

AbstractThe Green Vehicle Routing Problem with Capacitated Alternative Fuel Stations assumes that, at each station, the number of vehicles simultaneously refueling cannot exceed the number of available pumps. The state-of-the-art solution method, based on the generation of all feasible non-dominated paths, performs well only with up to 2 pumps. In fact, it needs cloning the paths between every pair of pumps. To overcome this issue, in this paper, we propose new path-based MILP models without cloning paths, for both the scenario with private stations (i.e., owned by the fleet manager) and that with public stations. Then, a more efficient cutting plane approach is designed for addressing both…

050210 logistics & transportationMathematical optimization021103 operations researchControl and OptimizationCloning (programming)Alternative fuel vehicles; Fueling pump reservation; Mixed integer linear programming; Vehicle routing problemComputer science05 social sciences0211 other engineering and technologiesComputational intelligence02 engineering and technologyGreen vehicle routingSet (abstract data type)Alternative fuel vehiclesalternative fuels benchmarking clone cells cloning integer programming pumps sensitivity analysis vehicles fueling pump reservation mixed integer linear programming vehicle routing problemMixed integer linear programmingVehicle routing problem0502 economics and businessPath (graph theory)Benchmark (computing)Sensitivity (control systems)Settore MAT/09 - Ricerca OperativaCutting-plane methodFueling pump reservation
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Symbolic Worst Case Execution Times

2011

In immediate or hard real-time systems the correctness of an operation depends not only upon its logical correctness, but also on the time in which it is computed. In such systems, it is imperative that operations are performed within a given deadline because missing this deadline constitutes the failure of the complete system. Such systems include medical systems, flight control systems and other systems whose failure in responding punctually results in a high economical loss or even in the loss of human lives. These systems are usually analyzed in a sequence of steps in which first, a socalled control flow graph (CFG) is constructed that represents possible program flows. Furthermore, bou…

PolynomialSequenceCorrectnessWorst-case execution timeComputer scienceCode (cryptography)Control flow graphInteger programmingAlgorithmLongest path problem
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Energy Management Systems and tertiary regulation in hierarchical control architectures for islanded microgrids

2015

In this paper, the structure of the highest level of a hierarchical control architecture for micro-grids is proposed. Such structure includes two sub-levels: the Energy Management System, EMS, and the tertiary regulation. The first devoted to energy resources allocation in each time slot based on marginal production costs, the latter aiming at finding the match between production and consumption satisfying the constraints set by the EMS level about the energy production in each time slot. Neglecting the efficiency of the different energy generation systems as well as that of the infrastructure for electrical energy distribution, the problem dealt with by the EMS sub-level is linear and can …

OptimizationEngineeringMathematical optimizationMicro-gridsLinear programmingEnergy managementbusiness.industry:Energies [Àrees temàtiques de la UPC]Electric potential energyControl engineeringElectric powerEnergy management systemSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaElectricity generationEnergy management systemsLinear programmingEnergia elèctricaElectric powerMinificationbusinessInteger programmingEnergy management systems linear programming microgrids optimization
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The Multiple Multidimensional Knapsack with Family-Split Penalties

2021

Abstract The Multiple Multidimensional Knapsack Problem with Family-Split Penalties (MMdKFSP) is introduced as a new variant of both the more classical Multi-Knapsack and Multidimensional Knapsack Problems. It reckons with items categorized into families and where if an individual item is selected to maximize the profit, all the items of the same family must be selected as well. Items belonging to the same family can be assigned to different knapsacks; however, in this case, split penalties are incurred. This problem arises in resource management of distributed computing contexts and Service Oriented Architecture environments. An exact algorithm based on the exploitation of a specific combi…

Mathematical optimizationCombinatorial optimizationInformation Systems and ManagementGeneral Computer ScienceComputer scienceKnapsack Problem0211 other engineering and technologiesBenders’ cuts; Combinatorial optimization; Integer programming; Knapsack Problems; Resource assignmentResource assignment02 engineering and technologyManagement Science and Operations ResearchIndustrial and Manufacturing Engineering0502 economics and businessInteger programming050210 logistics & transportation021103 operations research05 social sciencesBenders’ cutInteger programmingSolverKnapsack ProblemsBenders’ cutsExact algorithmKnapsack problemModeling and SimulationCombinatorial optimizationEuropean Journal of Operational Research
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Data for: Decorous Combinatorial Lower Bounds for Row Layout Problems

2021

Files of the new randomly generated instancesnlengths of the departmentsmatrix with the transport weights THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOVE

Statistics::Other StatisticsInterdisciplinary sciencesOtherComputer Science::Operating SystemsFacility LayoutInteger Programming
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