Search results for "algorithm."

showing 10 items of 4617 documents

Metaheuristic procedures for the lexicographic bottleneck assembly line balancing problem

2015

The goal of this work is to develop an improved procedure for the solution of the lexicographic bottleneck variant of the assembly line balancing problem (LB-ALBP). The objective of the LB-ALBP is to minimize the workload of the most heavily loaded workstation, followed by the workload of the second most heavily loaded workstation and so on. This problem-recently introduced to the literature (Pastor, 2011)-has practical relevance to manufacturing facilities. We design, implement and fine-tune GRASP, tabu search (TS) and scatter search (SS) heuristics for the LB-ALBP and show that our procedures are able to obtain solutions of a quality that outperforms previous approaches. We rely on both s…

0209 industrial biotechnologyMathematical optimizationComputer scienceStrategy and Management0211 other engineering and technologiesassembly line balancingheuristics02 engineering and technologyManagement Science and Operations ResearchHeuristic algorithms.BottleneckManagement Information Systemslb-albp020901 industrial engineering & automation:Economia i organització d'empreses [Àrees temàtiques de la UPC]Genetic algorithmgenetic algorithmMetaheuristicsearchMarketingmetaheuristicsmodel021103 operations researchGRASPWorkloadTabu searchmultiplelexicographic bottleneckProgramació heurísticanetworkHeuristicsTreball en cadenaJournal of the Operational Research Society
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Interrogating witnesses for geometric constraint solving

2012

International audience; Classically, geometric constraint solvers use graph-based methods to decompose systems of geometric constraints. These methods have intrinsic limitations, which the witness method overcomes; a witness is a solution of a variant of the system. This paper details the computation of a basis of the vector space of free infinitesimal motions of a typical witness, and explains how to use this basis to interrogate the witness for dependence detection. The paper shows that the witness method detects all kinds of dependences: structural dependences already detectable by graph-based methods, but also non-structural dependences, due to known or unknown geometric theorems, which…

0209 industrial biotechnologyMathematical optimizationGeometric constraintsTheoretical computer science[ INFO.INFO-NA ] Computer Science [cs]/Numerical Analysis [cs.NA]InfinitesimalComputationRigidity (psychology)02 engineering and technologyTheoretical Computer ScienceDependent and independent constraintsGeometric networks020901 industrial engineering & automation0202 electrical engineering electronic engineering information engineeringConstraint solvingMathematicsGeometric transformationWitness configuration020207 software engineering[INFO.INFO-NA]Computer Science [cs]/Numerical Analysis [cs.NA]16. Peace & justiceWitnessComputer Science ApplicationsComputational Theory and MathematicsConstraint decompositionGraph (abstract data type)Infinitesimal motionsAlgorithmInformation SystemsVector space
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Fast Earth Mover's Distance Computation for Catadioptric Image Sequences

2016

International audience; Earth mover's distance is one of the most effective metric for comparing histograms in various image retrieval applications. The main drawback is its computational complexity which hinders its usage in various comparison tasks. We propose fast earth mover's distance computation by providing better initialization to the transportation simplex algorithm. The new approach enables faster EMD computation in Visual Memory (VM) compared to the state of the art methods. The new proposed strategy computes earth mover distance without compromising its accuracy.

0209 industrial biotechnologyMoments[ INFO ] Computer Science [cs]Computational complexity theory[SPI] Engineering Sciences [physics]VisionComputationComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONInitialization02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing[INFO] Computer Science [cs]Catadioptric system[SPI]Engineering Sciences [physics]020901 industrial engineering & automationEarth Mover's DistanceSimplex algorithmVisual servoing0202 electrical engineering electronic engineering information engineering[ SPI ] Engineering Sciences [physics]Computer vision[INFO]Computer Science [cs]Image retrieval[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingMathematicsbusiness.industry[SPI.TRON] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/Electronics[ SPI.TRON ] Engineering Sciences [physics]/ElectronicsVisual MemoryLocalizationMetric (mathematics)020201 artificial intelligence & image processingArtificial intelligencebusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingEarth mover's distance
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Adaptive Fuzzy Super-Twisting Sliding Mode Control for Microgyroscope

2019

This paper proposes a novel adaptive fuzzy super-twisting sliding mode control scheme for microgyroscopes with unknown model uncertainties and external disturbances. Firstly, an adaptive algorithm is used to estimate the unknown parameters and angular velocity of microgyroscopes. Secondly, in order to improve the performance of the system and the superiority of the super-twisting algorithm, this paper utilizes the universal approximation characteristic of the fuzzy system to approach the gain of the super-twisting sliding mode controller and identify the gain of the controller online, realizing the adaptive adjustment of the controller parameters. Simulation results verify the superiority a…

0209 industrial biotechnologyMultidisciplinaryArticle SubjectGeneral Computer ScienceAdaptive algorithmComputer science020208 electrical & electronic engineeringMode (statistics)Angular velocity02 engineering and technologyFuzzy control systemSliding mode controlFuzzy logiclcsh:QA75.5-76.95020901 industrial engineering & automationControl theory0202 electrical engineering electronic engineering information engineeringlcsh:Electronic computers. Computer scienceComplexity
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Multi-band identification for enhancing bearing fault detection in variable speed conditions

2020

Abstract Rolling element bearings are crucial components in rotating machinery, and avoiding unexpected breakdowns using fault detection methods is an increased demand in industry today. Variable speed conditions render a challenge for vibration-based fault diagnosis due to the non-stationary impact frequency. Computed order tracking transforms the vibration signal from time domain to the shaft-angle domain, allowing order analysis with the envelope spectrum. To enhance fault detection, the bearing resonance frequency region is isolated in the raw signal prior to order tracking. Identification of this region is not trivial but may be estimated using kurtosis-based methods reported in the li…

0209 industrial biotechnologyNoise (signal processing)Computer scienceMechanical EngineeringAerospace EngineeringCondition monitoring02 engineering and technologyFault (power engineering)01 natural sciencesNoise floorFault detection and isolationComputer Science Applications020901 industrial engineering & automationControl and Systems Engineering0103 physical sciencesSignal ProcessingCepstrumTime domain010301 acousticsOrder trackingAlgorithmCivil and Structural EngineeringMechanical Systems and Signal Processing
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Algorithmic Approach for Slot Filling Factors Determination in Electrical Machines

2018

In several industrial sectors, such as electric and hybrid traction, the demand for increasingly efficient and high power density electrical machines has grown considerably over the last few years. The improvement of slot filling factor of the electrical machines is an useful provision to satisfy this request. In particular, this topic has been the subject of interest for the industrial sector in recent years, since the technology of winding processes have evolved and allow an economically sustainable realization of windings with an ordered structure rather than randomly. The winding phase must be supported by an accurate design process in which it is possible to evaluate the maximum slot f…

0209 industrial biotechnologyOptimization AlgorithmComputer sciencemedicine.medical_treatmentMechanical engineeringFilling Factor OptimizationEnergy Engineering and Power Technology02 engineering and technologyHigh power density010501 environmental sciencesMagnetic wiresSettore ING-IND/32 - Convertitori Macchine E Azionamenti Elettrici01 natural sciences020901 industrial engineering & automationmedicineElectrical and Electronic Engineering0105 earth and related environmental sciencesMagnetic WireFilling factorRenewable Energy Sustainability and the EnvironmentSlot Filling factorSense (electronics)Traction (orthopedics)WindingElectromagnetic coilDesign processRealization (systems)
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Extreme Learning Machines for Data Classification Tuning by Improved Bat Algorithm

2018

Single hidden layer feed forward neural networks are widely used for various practical problems. However, the training process for determining synaptic weights of such neural networks can be computationally very expensive. In this paper we propose a new learning algorithm for learning the synaptic weights of the single hidden layer feedforward neural networks in order to reduce the learning time. We propose combining the upgraded bat algorithm with the extreme learning machine. The proposed approach reduces the number of evaluations needed to train a neural network and efficiently finds optimal input weights and the hidden biases. The proposed algorithm was tested on standard benchmark clas…

0209 industrial biotechnologyQuantitative Biology::Neurons and CognitionArtificial neural networkComputer sciencebusiness.industryData classificationProcess (computing)Approximation algorithm02 engineering and technologyMachine learningcomputer.software_genre020901 industrial engineering & automationGenetic algorithm0202 electrical engineering electronic engineering information engineeringBenchmark (computing)Feedforward neural network020201 artificial intelligence & image processingArtificial intelligencebusinesscomputerBat algorithm2018 International Joint Conference on Neural Networks (IJCNN)
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Kinematic synthesis of a new 3D printing solution

2016

Low-cost production of metal parts is a challenge nowadays in the Additive Manufacturing world and new methods are being developed. The MIM technique is an innovative approach for 3D printing. This method requires a machine with suitable kinematics capable of generating the adequate movements. The object of this article is the kinematic synthesis of a 5Dofs robot, based on two PKM machines, for additive manufacturing in order to compliant with the requirements of this new technology. Robot kinematics have been optimized by genetic algorithm in order to cover the required workspace and the design of the robot and outline of the control system are also given.

0209 industrial biotechnologyRobot kinematicsbusiness.industryComputer science3D printingMechanical engineeringControl engineering02 engineering and technologyWorkspaceKinematicsObject (computer science)020303 mechanical engineering & transports020901 industrial engineering & automation0203 mechanical engineeringlcsh:TA1-2040Control systemGenetic algorithmRobotbusinesslcsh:Engineering (General). Civil engineering (General)MATEC Web of Conferences
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Collision detection for 3D rigid body motion planning with narrow passages

2017

In sampling-based 3D rigid body motion planning one of the major subroutines is collision detection. Especially for problems with narrow passages many samples have to be checked by a collision detection algorithm. In this application, the runtime of the motion planning algorithm is dominated by collision detection and the samples have the very specific characteristic that many of them are in collision and have small penetration volumes. In our work, we introduce a data structure and an algorithm that makes use of this characteristic by combining well-known data structures like a distance field and an octree with the swap algorithm by Llanas et al. For 3D rigid body motion planning with narr…

0209 industrial biotechnologySpeedupbusiness.industryComputer science02 engineering and technologyRigid bodyCollisionOctree020901 industrial engineering & automation0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingCollision detectionComputer visionArtificial intelligenceMotion planningPhysics enginebusinessDistance transformAlgorithmComputingMethodologies_COMPUTERGRAPHICS2017 IEEE International Conference on Robotics and Automation (ICRA)
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Additively manufactured textiles and parametric modelling by generative algorithms in orthopaedic applications

2020

Purpose The purpose of this paper is to implement a new process aimed at the design and production of orthopaedic devices fully manufacturable by additive manufacturing (AM). In this context, the use of generative algorithms for parametric modelling of additively manufactured textiles (AMTs) also has been investigated, and new modelling solutions have been proposed. Design/methodology/approach A new method for the design of customised elbow orthoses has been implemented. In particular, to better customise the elbow orthosis, a generative algorithm for parametric modelling and creation of a flexible structure, typical of an AMT, has been developed. Findings To test the developed modelling a…

0209 industrial biotechnologyTextileComputer scienceProcess (engineering)Additive manufacturingCADContext (language use)02 engineering and technologyIndustrial and Manufacturing Engineeringlaw.inventionCAD modeling020901 industrial engineering & automationlawParametric modellingStructure (mathematical logic)Elbow orthosibusiness.industryMechanical EngineeringGenerative algorithmsAdditively manufactured textile021001 nanoscience & nanotechnologySelective laser sinteringAM technologie0210 nano-technologybusinessAlgorithmGenerative grammar
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