Search results for "General Computer Science"

showing 10 items of 895 documents

The Rural Postman Problem on mixed graphs with turn penalties

2002

In this paper we deal with a problem which generalizes the Rural Postman Problem defined on a mixed graph (MRPP). The generalization consists of associating a non-negative penalty to every turn as well as considering the existence of forbidden turns. This new problem fits real-world situations more closely than other simpler problems. A solution tour must traverse all the requiring service arcs and edges of the graph while not making forbidden turns. Its total cost will be the sum of the costs of the traversed arcs and edges together with the penalties associated with the turns done. The Mixed Rural Postman Problem with Turn Penalties (MRPPTP) consists of finding such a tour with a total mi…

Mathematical optimizationTraverseGeneral Computer SciencePolynomial transformationTotal costMixed graphManagement Science and Operations ResearchTravelling salesman problemModeling and SimulationComputer Science::Data Structures and AlgorithmsHeuristicsArc routingMetaheuristicMathematicsComputers & Operations Research
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Using penalties instead of rewards: Solving OCST problems with guided local search

2012

Abstract This paper considers the optimal communication spanning tree (OCST) problem. Previous work analyzed features of high-quality solutions and found that edges in optimal solutions have low weight and point towards the center of a tree. Consequently, integrating this problem-specific knowledge into a metaheuristic increases its performance for the OCST problem. In this paper, we present a guided local search (GLS) approach which dynamically changes the objective function to guide the search process into promising areas. In contrast to traditional approaches which reward promising solution features by favoring edges with low weights pointing towards the tree’s center, GLS penalizes low-…

Mathematical optimizationTree (data structure)Spanning treeGeneral Computer ScienceOrientation (computer vision)Computer scienceGeneral MathematicsCombinatorial optimizationContrast (statistics)Point (geometry)Guided Local SearchMetaheuristicSwarm and Evolutionary Computation
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Decision-aid for discrete multiple criteria decision making problems with imprecise data

1999

Abstract We describe ways of aiding decision making with a discrete set of alternatives. In many decision situations, it is not possible to obtain explicit preference information from the decision makers. Instead, useful decision-aid can be provided to the decision makers by describing what kind of weighting of the criteria result in certain choices of the alternatives. The suggested treatment is based on the basic ideas of the ELECTRE III method. The modelling of the preferences by pseudo-criteria is especially helpful in case the data, that is, the criterion values are imprecise. Unlike ELECTRE III, no ranking of the alternatives is produced. Based on a minimum-procedure in the exploitati…

Mathematical optimizationWeighted sum modelInformation Systems and ManagementGeneral Computer ScienceWeighted product modelEvidential reasoning approachDecision ruleManagement Science and Operations ResearchIndustrial and Manufacturing EngineeringModeling and SimulationInfluence diagramELECTREOptimal decisionMathematicsDecision analysisEuropean Journal of Operational Research
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Resource-constrained project scheduling: A critical activity reordering heuristic

2003

Abstract In this paper, we present a new metaheuristic algorithm for the resource-constrained project-scheduling problem. The procedure is a non-standard implementation of fundamental concepts of tabu search without explicitly using memory structures embedded in a population-based framework. The procedure makes use of a fan search strategy to intensify the search, whereas a strategic oscillation mechanism loosely related to the forward/backward technique provides the necessary diversification. Our implementation employs the topological order (TO) representation of schedules. To explore the TO vector space we introduce three types of moves, two of them based on the concept of relative critic…

Mathematical optimizationeducation.field_of_studyScheduleInformation Systems and ManagementGeneral Computer ScienceHeuristicComputer scienceHeuristic (computer science)PopulationManagement Science and Operations ResearchIndustrial and Manufacturing EngineeringTabu searchModeling and SimulationFeature (machine learning)Guided Local SearcheducationRepresentation (mathematics)HeuristicsMetaheuristicEuropean Journal of Operational Research
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Combinatorial Gray codes for classes of pattern avoiding permutations

2007

The past decade has seen a flurry of research into pattern avoiding permutations but little of it is concerned with their exhaustive generation. Many applications call for exhaustive generation of permutations subject to various constraints or imposing a particular generating order. In this paper we present generating algorithms and combinatorial Gray codes for several families of pattern avoiding permutations. Among the families under consideration are those counted by Catalan, Schr\"oder, Pell, even index Fibonacci numbers and the central binomial coefficients. Consequently, this provides Gray codes for $\s_n(\tau)$ for all $\tau\in \s_3$ and the obtained Gray codes have distances 4 and 5.

Mathematics::CombinatoricsFibonacci numberPattern avoiding permutationsGeneral Computer ScienceOrder (ring theory)Generating algorithms94B25Gray codesCombinatorial algorithms05A05; 94B25; 05A15Theoretical Computer ScienceCombinatoricsSet (abstract data type)Constraint (information theory)Gray codePermutation05A05ComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATIONFOS: MathematicsMathematics - CombinatoricsCombinatorics (math.CO)05A15Binomial coefficientComputer Science(all)MathematicsTheoretical Computer Science
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The Heterogeneous Fleet Vehicle Routing Problem with Draft Limits

2023

Over the past two decades, international maritime transport has been characterized by the advent of ever larger ships. This phenomenon is known as naval gigantism. If, on the one hand, naval gigantism allows to reduce transport costs by exploiting the economies of scale achievable by large ships, on the other hand, it implies a series of operational issues. Indeed, due to their large draft, such giant vessels are not allowed to enter small ports when fully or near-fully loaded, and in some cases, they cannot enter such small ports at all. In fact, their draft can strongly vary depending on the load on board. This implies restrictions for vessels in accessing ports, which impact not only at …

MatheuristicGeneral Computer ScienceModeling and SimulationLarge Neighborhood SearchDraft limitsHeterogeneous fleetManagement Science and Operations ResearchMaritime transportationRoutingComputers & Operations Research
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A matheuristic for the Team Orienteering Arc Routing Problem

2015

In the Team OrienteeringArc Routing Problem (TOARP) the potential customers are located on the arcs of a directed graph and are to be chosen on the basis of an associated profit. A limited fleet of vehicles is available to serve the chosen customers. Each vehicle has to satisfy a maximum route duration constraint. The goal is to maximize the profit of the served customers. We propose a matheuristic for the TOARP and test it on a set of benchmark instances for which the optimal solution or an upper bound is known. The matheuristic finds the optimal solutions on all, except one, instances of one of the four classes of tested instances (with up to 27 vertices and 296 arcs). The average error o…

MatheuristicMathematical optimizationInformation Systems and ManagementGeneral Computer ScienceComputer scienceOrienteeringDirected graphManagement Science and Operations ResearchUpper and lower boundsIndustrial and Manufacturing EngineeringVertex (geometry)Constraint (information theory)Set (abstract data type)Routing problems with profitsArc routing problemModeling and SimulationBenchmark (computing)Team Orienteering ProblemDuration (project management)MATEMATICA APLICADAArc routing
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A recurrence-free variant of strassen’s algorithm on hypercube

1995

In this paper a non-recursive Strassen’s matrix multiplication algorithm is presented. This new algorithm is suitable to run on parallel environments. Two computational schemes have been worked out exploiting different parallel approaches on hypercube architecture. A comparative analysis is reported. The experiments have been carried out on an nCUBE-2 supercomputer, housed at CNUCE in Pisa, supporting the Express parallel operating system. © 1995, Taylor & Francis Group, LLC. All rights reserved.

Matrix multiplicationGeneral Computer ScienceComputer scienceExpress operating systemComputer Science (all)Parallel computingStrassen’s algorithmSupercomputerMatrix multiplicationStrassen algorithmHypercube architectureHypercubeAlgorithmHypercube architecture
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Classifying efficient alternatives in SMAA using cross confidence factors

2006

Abstract Stochastic multicriteria acceptability analysis (SMAA) is a family of methods for aiding multicriteria group decision making. These methods are based on exploring the weight space in order to describe the preferences that make each alternative the most preferred one. The main results of the analysis are rank acceptability indices, central weight vectors and confidence factors for different alternatives. The rank acceptability indices describe the variety of different preferences resulting in a certain rank for an alternative; the central weight vectors represent the typical preferences favouring each alternative; and the confidence factors measure whether the criteria data are suff…

Measure (data warehouse)Decision support systemInformation Systems and ManagementGeneral Computer ScienceOperations researchStochastic modellingbusiness.industryLow ConfidenceRank (computer programming)Management Science and Operations ResearchMachine learningcomputer.software_genreIndustrial and Manufacturing EngineeringVariety (cybernetics)Group decision-makingModeling and SimulationData envelopment analysisArtificial intelligencebusinesscomputerMathematicsEuropean Journal of Operational Research
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A methodology for the reduction of imprecision in the engineering process

1997

Abstract Engineering design is characterized by a high level of imprecision, vague parameters, and ill-defined relationships. In design, imprecision reduction must occur to arrive at a final product specification. Few design systems exist for adequately representing design imprecision, and formally reducing it to precise values. Fuzzy set theory has considerable potential for addressing the imprecision in design. However, it lacks a formal methodology for system development and operation. One repercussion of this is that imprecision reduction is, at present, implemented in a relatively ad-hoc manner. The main contribution of this paper is to introduce a methodology called precision converge…

Measure (data warehouse)Information Systems and ManagementGeneral Computer ScienceHierarchy (mathematics)Concurrent engineeringComputer scienceFuzzy setManagement Science and Operations ResearchIndustrial and Manufacturing EngineeringReliability engineeringReduction (complexity)Modeling and SimulationProduct (mathematics)Engineering design processAlgorithmEuropean Journal of Operational Research
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