Search results for "Electronic Design Automation"

showing 10 items of 118 documents

GRASP for the uncapacitated r-allocation p-hub median problem

2014

In this paper we propose a heuristic for the Uncapacitated r-Allocation p-Hub Median Problem. In the classical p-hub location problem, given a set of nodes with pairwise traffic demands, we must select p of them as hub locations and route all traffics through them at a minimum cost. We target here an extension, called the r-allocation p-hub median problem, recently proposed by Yaman [19], in which every node is assigned to r of the p selected hubs (r@?p) and we are restricted to route the traffic of the nodes through their associated r hubs. As it is usual in this type of problems, our method has three phases: location, assignment and routing. Specifically, we propose a heuristic based on t…

Mathematical optimizationGeneral Computer ScienceHeuristic (computer science)business.industryNode (networking)GRASPManagement Science and Operations ResearchModeling and SimulationCombinatorial optimizationPairwise comparisonLocal search (optimization)Routing (electronic design automation)HeuristicsbusinessMathematicsComputers & Operations Research
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Active-guided evolution strategies for large-scale capacitated vehicle routing problems

2007

We present an adaptation of the active-guided evolution strategies metaheuristic for the capacitated vehicle routing problem. The capacitated vehicle routing problem is a classical problem in operations research in which a set of minimum total cost routes must be determined for a fleet of identical capacitated vehicles in order to service a number of demand or supply points. The applied metaheuristic combines the strengths of the well-known guided local search and evolution strategies metaheuristics into an iterative two-stage procedure. The computational experiments were carried out on a set of 76 benchmark problems. The results demonstrate that the suggested method is highly competitive, …

Mathematical optimizationGeneral Computer ScienceOperations researchIterative methodbusiness.industryComputer scienceManagement Science and Operations ResearchModeling and SimulationVehicle routing problemBenchmark (computing)Guided Local SearchLocal search (optimization)Routing (electronic design automation)HeuristicsbusinessMetaheuristicComputers & Operations Research
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Most Diverse Near-Shortest Paths

2021

Computing the shortest path in a road network is a fundamental problem that has attracted lots of attention. However, in many real-world scenarios, determining solely the shortest path is not enough as users want to have additional, alternative ways of reaching their destination. In this paper, we investigate a novel variant of alternative routing, termed the k-Most Diverse Near-Shortest Paths (kMDNSP). In contrast to previous work, kMDNSP aims at maximizing the diversity of the recommended paths, while bounding their length based on a user-defined constraint. Our theoretical analysis proves the NP-hardness of the problem at hand. To compute an exact solution to kMDNSP, we present an algori…

Mathematical optimizationHeuristic (computer science)Computer sciencemedia_common.quotation_subjectAlternative routing Route planning Path similarity Near-shortest paths Path diversificationConstraint (information theory)Iterated functionBounding overwatchShortest path problemScalabilityQuality (business)ddc:004Routing (electronic design automation)media_commonProceedings of the 29th International Conference on Advances in Geographic Information Systems
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Optimal Delay-Power Tradeoff in Sparse Delay Tolerant Networks: a preliminary study

2006

In this paper we present a first attempt to study analytically the tradeoff between delivery delay and resource consumption for epidemic routing in Delay Tolerant Networks. We assume that the nodes cooperate in order to minimize a common cost equal to a weighted sum of the packet delivery delay and the total number of copies, which is strongly related to the power consumption. In this framework we determine the best policy each node should deploy in a very simple scenario where all the nodes have perfect knowledge of the system status. The result is used as an ideal reference to evaluate the performance of some heuristics proposed, investigating potential performance improvements and config…

Mathematical optimizationIdeal (set theory)business.industryComputer scienceNetwork packetNetwork delayNode (circuits)Elmore delayRouting (electronic design automation)businessHeuristicsComputer networkPower (physics)
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On the Distance-Constrained Close Enough Arc Routing Problem

2021

[EN] Arc routing problems consist basically of finding one or several routes traversing a given set of arcs and/or edges that must be serviced. The Close-Enough Arc Routing Problem, or Generalized Directed Rural Postman Problem, does not assume that customers are located at specific arcs, but can be serviced by traversing any arc of a given subset. Real-life applications include routing for meter reading, in which a vehicle equipped with a receiver travels a street network. If the vehicle gets within a certain distance of a meter, the receiver collects its data. Therefore, only a few streets which are close enough to the meters need to be traversed. In this paper we study the generalization…

Mathematical optimizationInformation Systems and ManagementGeneral Computer ScienceClose-enoughComputer scienceHeuristic (computer science)0211 other engineering and technologies02 engineering and technologyManagement Science and Operations ResearchIndustrial and Manufacturing EngineeringSet (abstract data type)Rural Postman0502 economics and businessDistance constraintsRouting050210 logistics & transportation021103 operations researchHeuristic05 social sciencesBranch and cutModeling and SimulationBenchmark (computing)Routing (electronic design automation)MATEMATICA APLICADAArc routingAutomatic meter readingStreet network
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Lower bounds and heuristics for the Windy Rural Postman Problem

2020

[EN] In this paper we present several heuristic algorithms and a cutting-plane algorithm for the Windy Rural Postman Problem. This problem contains several important Arc Routing Problems as special cases and has very interesting real-life applications. Extensive computational experiments over different sets of instances are also presented.

Mathematical optimizationInformation Systems and ManagementGeneral Computer ScienceHeuristic (computer science)Management Science and Operations ResearchUpper and lower boundsIndustrial and Manufacturing EngineeringWindy Rural Postman ProblemModeling and SimulationCutting planesHeuristicsRouting (electronic design automation)HeuristicsMATEMATICA APLICADAAlgorithmArc routingCutting-plane methodMathematicsRouting
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Two-phase branch-and-cut for the mixed capacitated general routing problem

2015

The Mixed Capacitated General Routing Problem (MCGRP) is defined over a mixed graph, for which some vertices must be visited and some links must be traversed at least once. The problem consists of determining a set of least-cost vehicle routes that satisfy this requirement and respect the vehicle capacity. Few papers have been devoted to the MCGRP, in spite of interesting real-world applications, prevalent in school bus routing, mail delivery, and waste collection. This paper presents a new mathematical model for the MCGRP based on two-index variables. The approach proposed for the solution is a two-phase branch-and-cut algorithm, which uses an aggregate formulation to develop an effective …

Mathematical optimizationInformation Systems and ManagementGeneral Computer ScienceMixed graphManagement Science and Operations ResearchIndustrial and Manufacturing EngineeringSet (abstract data type)Bounding overwatchModeling and SimulationBenchmark (computing)Destination-Sequenced Distance Vector routingRouting (electronic design automation)Integer programmingBranch and cutMathematicsEuropean Journal of Operational Research
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Using a TSP heuristic for routing order pickers in warehouses

2010

In this paper, we deal with the sequencing and routing problem of order pickers in conventional multi-parallel-aisle warehouse systems. For this NP-hard Steiner travelling salesman problem (TSP), exact algorithms only exist for warehouses with at most three cross aisles, while for other warehouse types literature provides a selection of dedicated construction heuristics. We evaluate to what extent reformulating and solving the problem as a classical TSP leads to performance improvements compared to existing dedicated heuristics. We report average savings in route distance of up to 47% when using the LKH (Lin-Kernighan-Helsgaun) TSP heuristic. Additionally, we examine if combining problem-sp…

Mathematical optimizationOrder pickingInformation Systems and ManagementGeneral Computer ScienceEconomicsOrder pickingLogisticsManagement Science and Operations ResearchAisleSteiner tree problemTravelling salesman problemIndustrial and Manufacturing Engineeringsymbols.namesakeLocal search (optimization)WarehousingMathematicsRoutingComputer. AutomationHeuristicbusiness.industryModeling and SimulationsymbolsRouting (electronic design automation)HeuristicsbusinessMathematicsofComputing_DISCRETEMATHEMATICSorder picking routing warehousing logistics
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A penalty-based edge assembly memetic algorithm for the vehicle routing problem with time windows

2010

In this paper, we present an effective memetic algorithm for the vehicle routing problem with time windows (VRPTW). The paper builds upon an existing edge assembly crossover (EAX) developed for the capacitated VRP. The adjustments of the EAX operator and the introduction of a novel penalty function to eliminate violations of the time window constraint as well as the capacity constraint from offspring solutions generated by the EAX operator have proven essential to the heuristic's performance. Experimental results on Solomon's and Gehring and Homberger benchmarks demonstrate that our algorithm outperforms previous approaches and is able to improve 184 best-known solutions out of 356 instance…

Mathematical optimizationSDG 16 - PeaceGeneral Computer ScienceHeuristic (computer science)EconomicsSDG 16 - Peace Justice and Strong InstitutionsCrossoverMemetic algorithmManagement Science and Operations ResearchEAX mode/dk/atira/pure/sustainabledevelopmentgoals/peace_justice_and_strong_institutionsPenalty functionVehicle routingJustice and Strong InstitutionsModeling and SimulationVehicle routing problemMemetic algorithmPenalty methodEnhanced Data Rates for GSM EvolutionRouting (electronic design automation)AlgorithmTime windowsMathematicsComputers and Operations Research
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Large multiple neighborhood search for the clustered vehicle-routing problem

2018

Abstract The clustered vehicle-routing problem is a variant of the classical capacitated vehicle-routing problem in which customers are partitioned into clusters, and it is assumed that each cluster must have been served completely before the next cluster is served. This decomposes the problem into three subproblems, i.e., the assignment of clusters to routes, the routing inside each cluster, and the sequencing of the clusters in the routes. The second task requires the solution of several Hamiltonian path problems, one for each possibility to route through the cluster. We pre-compute the Hamiltonian paths for every pair of customers of each cluster. We present a large multiple neighborhood…

Mathematical optimizationSequence021103 operations researchInformation Systems and ManagementGeneral Computer ScienceGeneralization0211 other engineering and technologies02 engineering and technologyManagement Science and Operations ResearchHamiltonian pathIndustrial and Manufacturing EngineeringTask (computing)symbols.namesakeComputingMethodologies_PATTERNRECOGNITIONModeling and SimulationVehicle routing problem0202 electrical engineering electronic engineering information engineeringsymbolsCluster (physics)020201 artificial intelligence & image processingRouting (electronic design automation)Hamiltonian (control theory)MathematicsEuropean Journal of Operational Research
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