Search results for "Branch and bound"

showing 10 items of 14 documents

A decomposition approach to dual shuttle automated storage and retrieval systems

2016

[EN] Automated Storage and Retrieval Systems (AS/RS) have become vital in today¿s distribution and production environments, however it remains necessary to equip them with more efficient operational control policies. Motivated by real situations encountered by companies employing AS/RS, the present paper studies a miniload AS/RS system, with a dual shuttle crane in which a set of storage and retrieval requests must be scheduled such that the prioritized waiting time is minimized. Dual shuttle cranes have received minimal academic attention and thus continue to pose new problems that must be solved. The miniload AS/RS problem is addressed by decomposing it into a location assignment and sequ…

0209 industrial biotechnologyMathematical optimizationGeneral Computer ScienceComputer scienceESTADISTICA E INVESTIGACION OPERATIVA0211 other engineering and technologiesLogistics02 engineering and technologyAutomated storage and retrieval systemsSet (abstract data type)Dual shuttle020901 industrial engineering & automationDecomposition (computer science)HeuristicsMetaheuristicDecomposition021103 operations researchBranch and boundHeuristicControl policiesGeneral EngineeringWarehouseDual (category theory)Decomposition method (constraint satisfaction)HeuristicsComputers & Industrial Engineering
researchProduct

The on-line curvilinear component analysis (onCCA) for real-time data reduction

2015

Real time pattern recognition applications often deal with high dimensional data, which require a data reduction step which is only performed offline. However, this loses the possibility of adaption to a changing environment. This is also true for other applications different from pattern recognition, like data visualization for input inspection. Only linear projections, like the principal component analysis, can work in real time by using iterative algorithms while all known nonlinear techniques cannot be implemented in such a way and actually always work on the whole database at each epoch. Among these nonlinear tools, the Curvilinear Component Analysis (CCA), which is a non-convex techni…

Clustering high-dimensional dataBregman divergenceComputer scienceneural networkprojectionBregman divergenceNovelty detectionSynthetic dataData visualizationArtificial Intelligencebranch and boundComputer visionunfoldingcurvilinear component analysisCurvilinear coordinatesArtificial neural networkbusiness.industryVector quantizationPattern recognitiononline algorithmbearing faultvector quantizationPattern recognition (psychology)Principal component analysisbearing fault; branch and bound; Bregman divergence; curvilinear component analysis; data reduction; neural network; novelty detection; online algorithm; projection; unfolding; vector quantization; Software; Artificial Intelligencedata reductionArtificial intelligencebusinessnovelty detectionSoftware
researchProduct

An algorithm for the solution of tree equations

1997

We consider the problem of solving equations over k-ary trees. Here an equation is a pair of labeled α-ary trees, where α is a function associating an arity to each label. A solution to an equation is a morphism from α-ary trees to k-ary trees that maps the left and right hand side of the equation to the same k-ary tree.

CombinatoricsMorphismBinary treeBranch and boundSearch algorithmTree (set theory)Function (mathematics)ArityComputer Science::Information TheoryMathematicsEquation solving
researchProduct

An algorithm for the Rural Postman problem on a directed graph

1986

The Directed Rural Postman Problem (DRPP) is a general case of the Chinese Postman Problem where a subset of the set of arcs of a given directed graph is ‘required’ to be traversed at minimum cost. If this subset does not form a weakly connected graph but forms a number of disconnected components the problem is NP-Complete, and is also a generalization of the asymmetric Travelling Salesman Problem. In this paper we present a branch and bound algorithm for the exact solution of the DRPP based on bounds computed from Lagrangean Relaxation (with shortest spanning arborescence sub-problems) and on the fathoming of some of the tree nodes by the solution of minimum cost flow problems. Computation…

CombinatoricsRoute inspection problemArborescenceBranch and boundComputer scienceDirected graphMinimum-cost flow problemTravelling salesman problemTree (graph theory)ConnectivityMathematicsofComputing_DISCRETEMATHEMATICS
researchProduct

Domain-Knowledge Optimized Simulated Annealing for Network-on-Chip Application Mapping

2013

Network-on-Chip architectures are scalable on-chip interconnection networks. They replace the inefficient shared buses and are suitable for multicore and manycore systems. This paper presents an Optimized Simulated Annealing (OSA) algorithm for the Network-on-Chip application mapping problem. With OSA, the cores are implicitly and dynamically clustered using knowledge about communication demands. We show that OSA is a more feasible Simulated Annealing approach to NoC application mapping by comparing it with a general Simulated Annealing algorithm and a Branch and Bound algorithm, too. Using real applications we show that OSA is significantly faster than a general Simulated Annealing, withou…

Computer Science::Hardware ArchitectureInterconnectionMulti-core processorNetwork on a chipBranch and boundComputer scienceScalabilitySimulated annealingComputer Science::Networking and Internet ArchitectureParallel computingAdaptive simulated annealingCluster analysis
researchProduct

Branch and bound for the cutwidth minimization problem

2013

The cutwidth minimization problem consists of finding a linear arrangement of the vertices of a graph where the maximum number of cuts between the edges of the graph and a line separating consecutive vertices is minimized. We first review previous approaches for special classes of graphs, followed by lower bounds and then a linear integer formulation for the general problem. We then propose a branch-and-bound algorithm based on different lower bounds on the cutwidth of partial solutions. Additionally, we introduce a Greedy Randomized Adaptive Search Procedure (GRASP) heuristic to obtain good initial solutions. The combination of the branch-and-bound and GRASP methods results in optimal solu…

Discrete mathematicsGeneral Computer ScienceBranch and boundGeneral problemMinimization problemGRASPCPU timeManagement Science and Operations ResearchUpper and lower boundsCombinatoricsModeling and SimulationInteger programmingGreedy randomized adaptive search procedureMathematicsComputers & Operations Research
researchProduct

A computational study of LP-based heuristic algorithms for two-dimensional guillotine cutting stock problems

2002

In this paper we develop and compare several heuristic methods for solving the general two-dimensional cutting stock problem. We follow the Gilmore-Gomory column generation scheme in which at each iteration a new cutting pattern is obtained as the solution of a subproblem on one stock sheet. For solving this subproblem, in addition to classical dynamic programming, we have developed three heuristic procedures of increasing complexity, based on GRASP and Tabu Search techniques, producing solutions differing in quality and in time requirements. In order to obtain integer solutions from the fractional solutions of the Gilmore-Gomory process, we compare three rounding procedures, rounding up, t…

Dynamic programmingMathematical optimizationBranch and boundCutting stock problemRoundingGRASPBusiness Management and Accounting (miscellaneous)Column generationManagement Science and Operations ResearchResidualAlgorithmTabu searchMathematicsOR Spectrum
researchProduct

A branch & bound algorithm for cutting and packing irregularly shaped pieces

2013

Abstract Cutting and packing problems involving irregular shapes, usually known as Nesting Problems, are common in industries ranging from clothing and footwear to furniture and shipbuilding. Research publications on these problems are relatively scarce compared with other cutting and packing problems with rectangular shapes, and are focused mostly on heuristic approaches. In this paper we make a systematic study of the problem and develop an exact Branch & Bound Algorithm. The initial existing mixed integer formulations are reviewed, tested and used as a starting point to develop a new and more efficient formulation. We also study several branching strategies, lower bounds and procedures f…

Economics and EconometricsMathematical optimizationBranch and boundComputer scienceHeuristic (computer science)HeuristicBranch and priceManagement Science and Operations ResearchGeneral Business Management and AccountingIndustrial and Manufacturing EngineeringPacking problemsPoint (geometry)Node (circuits)AlgorithmBranch and cutInteger (computer science)International Journal of Production Economics
researchProduct

A branch and bound algorithm for the matrix bandwidth minimization

2008

In this article, we first review previous exact approaches as well as theoretical contributions for the problem of reducing the bandwidth of a matrix. This problem consists of finding a permutation of the rows and columns of a given matrix which keeps the non-zero elements in a band that is as close as possible to the main diagonal. This NP-complete problem can also be formulated as a labeling of vertices on a graph, where edges are the non-zero elements of the corresponding symmetrical matrix. We propose a new branch and bound algorithm and new expressions for known lower bounds for this problem. Empirical results with a collection of previously reported instances indicate that the propose…

Information Systems and ManagementDegree matrixBand matrixGeneral Computer ScienceBranch and boundBlock matrixManagement Science and Operations ResearchPermutation matrixIndustrial and Manufacturing EngineeringCombinatoricsModeling and SimulationCuthill–McKee algorithmDiagonal matrixMathematicsSparse matrixEuropean Journal of Operational Research
researchProduct

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
researchProduct