Search results for "Turing"

showing 10 items of 2644 documents

A hierarchic approach to production planning and scheduling of a flexible manufacturing system

1999

Abstract The paper deals with the problem of improving the machine utilization of a flexible manufacturing cell. Limited tool magazine space of the machines turns out to be a relevant bottleneck. A hierarchic approach for this problem is proposed. At the upper level, sets of parts that can be concurrently processed (batches) are determined. At the lower levels, batches are sequenced, linked, and scheduled. Methods taken from the literature are used for the solution of the latter subproblems, and an original mixed integer programming model is formulated to determine batches. The proposed methods are discussed on the basis of computational experience carried out on real instances.

Mathematical optimizationEngineeringbusiness.industryFlexible manufacturing systemsGeneral MathematicsFlexible manufacturing systemScheduling (production processes)Production planningFlexible manufacturing systemIndustrial and Manufacturing EngineeringBottleneckManufacturing engineeringComputer Science ApplicationsProduction planningMachine utilizationComputer-integrated manufacturingControl and Systems EngineeringToolingManufacturing cellbusinessInteger programmingProduction planning; Flexible manufacturing systems; Tooling; Mathematic; SimulationSoftwareMathematicSimulation
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A reactive GRASP algorithm for the container loading problem with load-bearing constraints

2014

The container loading problem consists in packing a set of boxes of different dimensions into a large container of fixed dimensions, usually with the objective of maximising the container load. In practical problems, besides the geometric constraints of not exceeding the container dimensions and ensuring the non-overlapping of boxes, other requirements may appear, such as total weight, weight balance or support. In this paper we address the problem of maximising container volume utilisation while respecting a set of practical constraints: full support of boxes, allowed orientations and load-bearing capacity. We have developed different heuristics for solving the problem and we have combined…

Mathematical optimizationEngineeringbusiness.industryGRASPVolume (computing)ConstructiveIndustrial and Manufacturing EngineeringLoad bearingSet (abstract data type)Improvement methodsContainer (abstract data type)businessHeuristicsAlgorithmEuropean J. of Industrial Engineering
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Wavelet-Based Optimal Control of a Wind Turbine System: A Computational Approach

2011

This paper deals with a computational optimization approach to the problem of state-feedback control design for a wind turbine system. The first step of the study is to develop a reduced order model for the system by considering the most important physical phenomena of aerodynamics and structural dynamics. Moreover, the behavior of the system can be influenced by the coupled dynamics between the tower motions and the blade pitch and turbine speed which can cause instabilities in the control loops in the worst case. By using a suitable wavelet funcation, called Haar functions, a recursive computational procedure is established for finding the system dynamics approximately by solving only alg…

Mathematical optimizationEngineeringbusiness.industryMechanical EngineeringBlade pitchAerodynamicsOptimal controlTurbineIndustrial and Manufacturing EngineeringSystem dynamicsAlgebraic equationWaveletControl theorybusinessDifferential (mathematics)Journal of Advanced Mechanical Design, Systems, and Manufacturing
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Multipass machining optimization by using fuzzy possibilistic programming and genetic algorithms

1999

The paper deals with optimal determination of the cutting parameters in multipass machining operations. A new optimization approach is proposed which uses a possibilistic formulation of the classical optimization problem and optimizes the resulting possibilistic model using a genetic algorithm. The proposed approach makes it possible to find the optimal value of all the cutting parameters, including the depth of cut, in just one step. A numerical example is provided to compare the performance of the proposed method with other recent methods proposed in the literature. Furthermore, fuzzy data must be used in the formulation of the optimization problem and therefore a fuzzy possibilistic app…

Mathematical optimizationFuzzy dataOptimization problemMachiningDepth of cutMechanical EngineeringGenetic algorithmFuzzy logicAlgorithmIndustrial and Manufacturing EngineeringMathematicsProceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture
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An exact algorithm for the fuzzy p-median problem

1999

In this paper we propose a fuzzy version of the classical p-median problem. We consider a fuzzy set of constraints so that the decision-maker will be able to take into account solutions which provide significantly lower costs by leaving a part of the demand uncovered. We propose an algorithm for solving the problem which is based on Hakimi's works and we compare the crisp and the fuzzy approach by means of an example.

Mathematical optimizationInformation Systems and ManagementFuzzy classificationGeneral Computer ScienceFuzzy setManagement Science and Operations ResearchType-2 fuzzy sets and systemsFuzzy logicDefuzzificationIndustrial and Manufacturing EngineeringComputingMethodologies_PATTERNRECOGNITIONFuzzy transportationModeling and SimulationFuzzy set operationsFuzzy numberAlgorithmMathematicsEuropean Journal of Operational Research
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On the equivalence of two optimization methods for fuzzy linear programming problems

2000

Abstract The paper analyses the linear programming problem with fuzzy coefficients in the objective function. The set of nondominated (ND) solutions with respect to an assumed fuzzy preference relation, according to Orlovsky's concept, is supposed to be the solution of the problem. Special attention is paid to unfuzzy nondominated (UND) solutions (the solutions which are nondominated to the degree one). The main results of the paper are sufficient conditions on a fuzzy preference relation allowing to reduce the problem of determining UND solutions to that of determining the optimal solutions of a classical linear programming problem. These solutions can thus be determined by means of classi…

Mathematical optimizationInformation Systems and ManagementFuzzy classificationGeneral Computer ScienceLinear programmingManagement Science and Operations ResearchFuzzy logicIndustrial and Manufacturing EngineeringLinear-fractional programmingFuzzy transportationModeling and SimulationFuzzy mathematicsFuzzy set operationsFuzzy numberMathematicsEuropean Journal of Operational Research
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Viability of infeasible portfolio selection problems: A fuzzy approach

2002

Abstract This paper deals with fuzzy optimization schemes for managing a portfolio in the framework of risk–return trade-off. Different models coexist to select the best portfolio according to their respective objective functions and many of them are linearly constrained. We are concerned with the infeasible instances of such models. This infeasibility, usually provoked by the conflict between the desired return and the diversification requirements proposed by the investor, can be satisfactorily avoided by using fuzzy linear programming techniques. We propose an algorithm to repair infeasibility and we illustrate its performance on a numerical example.

Mathematical optimizationInformation Systems and ManagementFuzzy classificationGeneral Computer ScienceNeuro-fuzzyFuzzy setManagement Science and Operations ResearchFuzzy logicDefuzzificationIndustrial and Manufacturing EngineeringFuzzy transportationModeling and SimulationEconomicsFuzzy numberFuzzy set operationsEuropean Journal of Operational Research
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The fuzzy p-median problem: A global analysis of the solutions

2001

Abstract We apply fuzzy techniques to incorporate external data into p-median problems. So we can detect certain solutions that would be discarded by usual crisp and fuzzy algorithms but that contrasted with this additional information can be advantageous. This usually reveals a pathology of the model and hence our methods provide some fuzzy validation criteria for p-median models.

Mathematical optimizationInformation Systems and ManagementFuzzy classificationGeneral Computer ScienceNeuro-fuzzyManagement Science and Operations ResearchType-2 fuzzy sets and systemsDefuzzificationIndustrial and Manufacturing EngineeringFuzzy transportationModeling and SimulationFuzzy mathematicsFuzzy set operationsFuzzy numberMathematicsEuropean Journal of Operational Research
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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
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A branch and bound algorithm for the maximum diversity problem

2010

This article begins with a review of previously proposed integer formulations for the maximum diversity problem (MDP). This problem consists of selecting a subset of elements from a larger set in such a way that the sum of the distances between the chosen elements is maximized. We propose a branch and bound algorithm and develop several upper bounds on the objective function values of partial solutions to the MDP. Empirical results with a collection of previously reported instances indicate that the proposed algorithm is able to solve all the medium-sized instances (with 50 elements) as well as some large-sized instances (with 100 elements). We compare our method with the best previous line…

Mathematical optimizationInformation Systems and ManagementGeneral Computer ScienceBranch and boundbusiness.industryBranch and bound methodManagement Science and Operations ResearchUpper and lower boundsIndustrial and Manufacturing EngineeringSet (abstract data type)SoftwareModeling and SimulationbusinessInteger programmingAlgorithmInteger (computer science)MathematicsEuropean Journal of Operational Research
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