Search results for "A* algorithm"

showing 10 items of 2538 documents

On the approximability of the range assignment problem on radio networks in presence of selfish agents

2005

AbstractWe consider the range assignment problem in ad-hoc wireless networks in the context of selfish agents: A network manager aims to assigning transmission ranges to the stations in order to achieve strong connectivity of the network within a minimal overall power consumption. Station is not directly controlled by the manager and may refuse to transmit with a certain transmission range because it might be costly in terms of power consumption.We investigate the existence of payment schemes which induce the stations to follow the decisions of a network manager in computing a range assignment, that is, truthful mechanisms for the range assignment problem. We provide both positive and negat…

Mathematical optimizationGeneral Computer ScienceSettore INF/01 - Informaticabusiness.industryWireless networkApproximation algorithmContext (language use)Approximation algorithmsTheoretical Computer ScienceNetwork managementAlgorithmic mechanism design; Energy consumption in wireless networks; Approximation algorithmsEnergy consumption in wireless networksalgorithmic mechanism design; approximation algorithms; energy consumption in wireless networksbusinessTime complexityAssignment problemAlgorithmConnectivityAlgorithmic mechanism designAlgorithmic mechanism designMathematicsComputer Science(all)Theoretical Computer Science
researchProduct

Scheduling in a continuous galvanizing line

2009

In this paper we address a sequencing problem in a Continuous Galvanizing Line of a Spanish Steel Company. Production scheduling in this context is an extremely complex task which needs to take into account many constraints. We present a conceptually simple model and a Tabu Search (TS) algorithm that efficiently solves it. The TS moves are defined in order to repair non-satisfied constraints, leading to smaller and more efficient neighbourhoods. The TS co-ordinates several intensification and diversification procedures guided by an evaluation function based on a shifting penalty strategy. This function reinforces the anticycling mechanism and makes the algorithm avoid already visited soluti…

Mathematical optimizationGeneral Computer Sciencebusiness.industryComputer scienceScheduling (production processes)Management Science and Operations ResearchEvaluation functionGalvanizationTabu searchScheduling (computing)symbols.namesakeSearch algorithmProduction managerModeling and SimulationsymbolsArtificial intelligencebusinessComputers & Operations Research
researchProduct

Constructive procedures to solve 2-dimensional bin packing problems with irregular pieces and guillotine cuts

2015

Abstract This paper presents an approach for solving a new real problem in cutting and packing. At its core is an innovative mixed integer programme model that places irregular pieces and defines guillotine cuts. The two-dimensional irregular shape bin packing problem with guillotine constraints arises in the glass cutting industry, for example, the cutting of glass for conservatories. Almost all cutting and packing problems that include guillotine cuts deal with rectangles only, where all cuts are orthogonal to the edges of the stock sheet and a maximum of two angles of rotation are permitted. The literature tackling packing problems with irregular shapes largely focuses on strip packing i…

Mathematical optimizationInformation Systems and ManagementBin packing problemStrategy and ManagementManagement Science and Operations ResearchComputer Science::Computational GeometryHybrid algorithmConstructiveBinPacking problemsCutting stock problemRectangleInteger (computer science)Mathematics
researchProduct

An Island Strategy for Memetic Discrete Tomography Reconstruction

2014

In this paper we present a parallel island model memetic algorithm for binary discrete tomography reconstruction that uses only four projections without any further a priori information. The underlying combination strategy consists in separated populations of agents that evolve by means of different processes. Agents progress towards a possible solution by using genetic operators, switch and a particular compactness operator. A guided migration scheme is applied to select suitable migrants by considering both their own and their sub-population fitness. That is, from time to time, we allow some individuals to transfer to different subpopulations. The benefits of this paradigm were tested in …

Mathematical optimizationInformation Systems and ManagementCorrectnessSettore INF/01 - InformaticaComputationMigration strategyBinary numberIterative reconstructionMemetic island modelNoisy projectionStability problemComputer Science ApplicationsTheoretical Computer ScienceOperator (computer programming)Artificial IntelligenceControl and Systems EngineeringImage reconstructionA priori and a posterioriMemetic algorithmAlgorithmDiscrete tomographySoftwareParallel discrete tomographyMathematics
researchProduct

Reducing the bandwidth of a sparse matrix with tabu search

2001

The bandwidth of a matrix { } ij a A = is defined as the maximum absolute difference between i and j for which 0 ≠ ij a . The problem of reducing the bandwidth of a matrix consists of finding a permutation of the rows and columns that keeps the nonzero elements in a band that is as close as possible to the main diagonal of the matrix. This NP-complete problem can also be formulated as a labeling of vertices on a graph, where edges are the nonzero elements of the corresponding symmetrical matrix. Many bandwidth reduction algorithms have been developed since the 1960s and applied to structural engineering, fluid dynamics and network analysis. For the most part, these procedures do not incorpo…

Mathematical optimizationInformation Systems and ManagementGeneral Computer ScienceBandwidth (signal processing)Management Science and Operations ResearchRow and column spacesMain diagonalIndustrial and Manufacturing EngineeringTabu searchDistance matrixModeling and SimulationCuthill–McKee algorithmMetaheuristicAlgorithmSparse matrixMathematicsEuropean Journal of Operational Research
researchProduct

A new branch-and-price algorithm for the traveling tournament problem

2010

Abstract The traveling tournament problem ( ttp ) consists of finding a distance-minimal double round-robin tournament where the number of consecutive breaks is bounded. For solving the problem exactly, we propose a new branch-and-price approach. The starting point is a new compact formulation for the ttp . The corresponding extensive formulation resulting from a Dantzig-Wolfe decomposition is identical to one given by Easton, K., Nemhauser, G., Trick, M., 2003. Solving the traveling tournament problem: a combined interger programming and constraint programming approach. In: Burke, E., De Causmaecker, P. (Eds.), Practice and Theory of Automated Timetabling IV, Volume 2740 of Lecture Notes i…

Mathematical optimizationInformation Systems and ManagementGeneral Computer ScienceBranch and priceConstrained optimizationManagement Science and Operations ResearchIndustrial and Manufacturing EngineeringReduction (complexity)Exact algorithmModeling and SimulationShortest path problemConstraint programmingColumn generationVariable eliminationMathematicsEuropean Journal of Operational Research
researchProduct

Tabu search and GRASP for the maximum diversity problem

2007

In this paper, we develop new heuristic procedures for the maximum diversity problem (MDP). This NP-hard problem has a significant number of practical applications such as environmental balance, telecommunication services or genetic engineering. The proposed algorithm is based on the tabu search methodology and incorporates memory structures for both construction and improvement. Although proposed in seminal tabu search papers, memory-based constructions have often been implemented in naive ways that disregard important elements of the fundamental tabu search proposals. We will compare our tabu search construction with a memory-less design and with previous algorithms recently developed for…

Mathematical optimizationInformation Systems and ManagementGeneral Computer ScienceHeuristic (computer science)business.industryManagement Science and Operations ResearchIndustrial and Manufacturing EngineeringTabu searchModeling and SimulationGenetic algorithmBeam searchLocal search (optimization)Guided Local SearchArtificial intelligencebusinessMetaheuristicHill climbingMathematicsEuropean Journal of Operational Research
researchProduct

A purification algorithm for semi-infinite programming

1992

Abstract In this paper we present a purification algorithm for semi-infinite linear programming. Starting with a feasible point, the algorithm either finds an improved extreme point or concludes with the unboundedness of the problem. The method is based on the solution of a sequence of linear programming problems. The study of some recession conditions has allowed us to establish a weak assumption for the finite convergence of this algorithm. Numerical results illustrating the method are given.

Mathematical optimizationInformation Systems and ManagementGeneral Computer ScienceLinear programmingManagement Science and Operations ResearchIndustrial and Manufacturing EngineeringSemi-infinite programmingLinear-fractional programmingSimplex algorithmModeling and SimulationAlgorithm designCriss-cross algorithmExtreme pointAlgorithmGradient methodMathematicsEuropean Journal of Operational Research
researchProduct

Separating capacity constraints in the CVRP using tabu search

1998

Abstract Branch and Cut methods have shown to be very successful in the resolution of some hard combinatorial optimization problems. The success has been remarkable for the Symmetric Traveling Salesman Problem (TSP). The crucial part in the method is the cutting plane algorithm: the algorithm that looks for valid inequalities that cut off the current nonfeasible linear program (LP) solution. In turn this part relies on a good knowledge of the corresponding polyhedron and our ability to design algorithms that can identify violated valid inequalities. This paper deals with the separation of the capacity constraints for the Capacitated Vehicle Routing Problem (CVRP). Three algorithms are prese…

Mathematical optimizationInformation Systems and ManagementGeneral Computer ScienceLinear programmingManagement Science and Operations ResearchTravelling salesman problemIndustrial and Manufacturing EngineeringTabu searchModeling and SimulationVehicle routing problemCombinatorial optimizationGreedy algorithmBranch and cutMetaheuristicAlgorithmMathematicsEuropean Journal of Operational Research
researchProduct

A tabu search algorithm for a two-dimensional non-guillotine cutting problem

2007

In this paper we study a two-dimensional non-guillotine cutting problem, the problem of cutting rectangular pieces from a large stock rectangle so as to maximize the total value of the pieces cut. The problem has many industrial applications whenever small pieces have to be cut from or packed into a large stock sheet. We propose a tabu search algorithm. Several moves based on reducing and inserting blocks of pieces have been defined. Intensification and diversification procedures, based on long-term memory, have been included. The computational results on large sets of test instances show that the algorithm is very efficient for a wide range of packing and cutting problems.

Mathematical optimizationInformation Systems and ManagementGeneral Computer ScienceManagement Science and Operations ResearchIndustrial and Manufacturing EngineeringTabu searchSearch algorithmCutting stock problemModeling and SimulationCombinatorial optimizationRectangleHeuristicsAlgorithmMathematicsEuropean Journal of Operational Research
researchProduct