Search results for "Heuristic algorithms"

showing 9 items of 9 documents

A GRASP algorithm for the container stowage slot planning problem

2016

This work presents a generalization of the Slot Planning Problem which raises when the liner shipping industry needs to plan the placement of containers within a vessel (stowage planning). State-of-the-art stowage planning relies on a heuristic decomposition where containers are first distributed in clusters along the vessel. For each of those clusters a specific position for each container must be found. Compared to previous studies, we have introduced two new features: the explicit handling of rolled out containers and the inclusion of separations rules for dangerous cargo. We present a novel integer programming formulation and a Greedy Randomized Adaptive Search Procedure (GRASP) to solv…

EngineeringOperations researchHeuristic (computer science)Container vessel stowage planning0211 other engineering and technologiesTransportation02 engineering and technologyManagement Science and Operations ResearchSHIPSOPERATIONSNUMBERGRASP0202 electrical engineering electronic engineering information engineeringHeuristic algorithmsLOADING PROBLEMBusiness and International ManagementInteger programmingREDUCEGreedy randomized adaptive search procedureCivil and Structural EngineeringSlot planningECONOMICS021103 operations researchbusiness.industryGRASPSHIFTSInteger programmingREACTIVE GRASPENGINEERINGPACKING PROBLEMSPacking problemsContainer (abstract data type)StowageBenchmark (computing)020201 artificial intelligence & image processingbusinessSETTransportation Research Part E: Logistics and Transportation Review
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Optimization of Data Harvesters Deployment in an Urban Areas for an Emergency Scenario

2013

International audience; Since its appearance in the VANETs research community, data collection where vehicles have to explore an area and collect various local data, brings various issues and challenges. Some architectures were proposed to meet data collection requirements. They can be classified into two categories: Decentralized and Centralized self-organizing where different components and techniques are used depending on the application type. In this paper, we treat time-constrained applications in the context of search and rescue missions. For this reason, we propose a centralized architecture where a central unit plans and manages a set of vehicles namely harvesters to get a clear ove…

OptimizationMathematical optimizationVANETOperations researchComputer scienceHeuristic (computer science)[SPI] Engineering Sciences [physics]Search and Rescue050801 communication & media studies02 engineering and technologyTopology[SPI]Engineering Sciences [physics]0508 media and communications11. Sustainability0202 electrical engineering electronic engineering information engineeringHeuristic algorithmsLocal search (optimization)Greedy algorithmMetaheuristicHarvestersGreedy randomized adaptive search procedureIncremental heuristic searchbusiness.industryData Collection05 social sciencesVehicles020206 networking & telecommunicationsRoadsEmergencyBeam searchbusinessBismuthVariable neighborhood search
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Hybrid prediction-optimization approaches for maximizing parts density in SLM of Ti6Al4V titanium alloy

2022

AbstractIt is well known that the processing parameters of selective laser melting (SLM) highly influence mechanical and physical properties of the manufactured parts. Also, the energy density is insufficient to detect the process window for producing full dense components. In fact, parts produced with the same energy density but different combinations of parameters may present different properties even under the microstructural viewpoint. In this context, the need to assess the influence of the process parameters and to select the best parameters set able to optimize the final properties of SLM parts has been capturing the attention of both academics and practitioners. In this paper differ…

Artificial neural networkOptimizationResponse surface methodologyArtificial IntelligencePredictive modelMetaheuristic algorithmsIndustrial and Manufacturing EngineeringSoftware
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Col : A Data Collection Protocol for Vanet

2012

International audience; In this paper, we present a protocol to collect data within a vehicular ad hoc network (VANET). In spite of the intrinsic dynamic of such network, our protocol simultaneously offers three relevant properties: (1) It allows any vehicle to collect data beyond its direct neighborhood (i.e., vehicles within direct communication range) using vehicle-to-vehicle communications only (i.e., the infrastructure is not required); (2) It tolerates possible network partitions; (3) It works on demand and stops when the data collection is achieved. To the best of our knowledge, this is the first collect protocol having these three characteristics. All that is chiefly obtained thanks…

data collection protocolVehicular communication systemsVANETCorrectnessnetwork operator antComputer sciencedata acquisitionDistributed computing[ INFO.INFO-NI ] Computer Science [cs]/Networking and Internet Architecture [cs.NI]self-stabilization area02 engineering and technologyVehicle dynamics[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]Transient analysis[SPI]Engineering Sciences [physics]0203 mechanical engineeringvehicular ad hoc networkvehicle to vehicle communication0202 electrical engineering electronic engineering information engineeringAlgorithm design and analysisHeuristic algorithmsCOL algorithmProtocol (object-oriented programming)ComputingMilieux_MISCELLANEOUSAirplug software distributionVehicular ad hoc networkData collectionbusiness.industryNetwork partitionnetwork partition020206 networking & telecommunications020302 automobile design & engineeringVehiclesSoftware distributionRoadsAlgorithm designvehicular ad hoc networksbusinessProtocolsComputer network
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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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Handling precedence constraints in scheduling problems by the sequence pair representation

2015

In this paper, we show that sequence pair (SP) representation, primarily applied to the rectangle packing problems appearing in the VLSI industry, can be a solution representation of precedence constrained scheduling. We present three interpretations of sequence pair, which differ in complexity of schedule evaluation and size of a corresponding solution space. For each interpretation we construct an incremental precedence constrained SP neighborhood evaluation algorithm, computing feasibility of each solution in the insert neighborhood in an amortized constant time per examined solution, and prove the connectivity property of the considered neighborhoods. To compare proposed interpretations…

Mathematical optimizationPrecedence diagram methodControl and Optimizationrectangle packing problemMultiprocessing0102 computer and information sciences02 engineering and technology01 natural sciencesScheduling (computing)0202 electrical engineering electronic engineering information engineeringDiscrete Mathematics and CombinatoricsschedulingComputer Science::Operating SystemsMathematicsVery-large-scale integrationAmortized analysisApplied MathematicsJob scheduling problemComputer Science ApplicationsComputational Theory and Mathematics010201 computation theory & mathematicsMetaheuristic algorithmsTheory of computation020201 artificial intelligence & image processingAlgorithmprecedence constraintssequence pairJournal of Combinatorial Optimization
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An Online Time Warping based Map Matching for Vulnerable Road Users’ Safety

2018

International audience; High penetration rate of Smartphones and their increased capabilities to sense, compute, store and communicate have made the devices vital components of intelligent transportation systems. However, their GPS positions accuracy remains insufficient for a lot of location-based applications especially traffic safety ones. In this paper, we developed a new algorithm which is able to improve smartphones GPS accuracy for vulnerable road users' traffic safety. It is a two-stage algorithm: in the first stage GPS readings obtained from smartphones are passed through Kalman filter to smooth deviated reading. Then an adaptive online time warping based map matching is applied to…

Dynamic time warpingSimilarity (geometry)010504 meteorology & atmospheric sciencesComputer science[SPI] Engineering Sciences [physics]Vulnerable Road Users SafetyTime series analysisMap matching01 natural sciencesGPS Accuracy[SPI]Engineering Sciences [physics]Smart phonesGlobal Positioning System11. Sustainability0502 economics and businessHeuristic algorithmsComputer visionTime seriesIntelligent transportation systemReal-time systems0105 earth and related environmental sciencesOnline Time Warping050210 logistics & transportationbusiness.industry05 social sciencesKalman filterMap MatchingRoadsGlobal Positioning SystemArtificial intelligenceSafetybusinessKalman Filter
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An approximate/exact objective based search technique for solving general scheduling problems

2018

Abstract In this paper, we analyze single machine scheduling problems under the following minimization objectives: the maximum completion time (makespan), the total completion time and the maximum lateness, including fundamental practical aspects, which often occur in industrial or manufacturing reality: release dates, due dates, setup times, precedence constraints, deterioration (aging) of machines, as well as maintenance activities. To solve the problems, we propose an efficient representation of a solution and a fast neighborhood search technique, which calculates an approximation of criterion values in a constant time per solution in a neighborhood. On this basis, a novel approximate/ex…

Rate-monotonic schedulingMathematical optimization021103 operations researchSingle-machine schedulingJob shop schedulingComputer science0211 other engineering and technologiesaging effectmetaheuristic02 engineering and technologyDynamic priority schedulingsetup timeFair-share schedulingScheduling (computing)Metaheuristic algorithmsTwo-level scheduling0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingschedulingmaintenance activitySoftwareprecedence constraintsApplied Soft Computing
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On the Non-Intrusive Load Monitoring in dwellings: a feasibility perspective

2021

The oncoming modernization process of the power grids, driven above all by decarbonisation objectives and the continuous improvement of digital technologies, is encouraging active participation in the electricity market by consumers through the Demand-Response mechanism. From this perspective, the introduction of smart meters and energy consumption monitoring devices plays a fundamental role, being able to give benefits to consumers, suppliers and the electricity grid itself. This paper proposes a supervised method of non-intrusive load monitoring (NILM) based on the recognition of patterns in the time domain with the Dynamic Time Warping algorithm which is suitable for low-cost smart meter…

Dynamic time warpingComputer scienceProcess (engineering)Energy consumptionHeuristic algorithmsPower system dynamicsEuropeLow-carbon economyElectricity supply industrySmart meterssmart gridnon-intrusive load monitoring (NILM)dynamic time warping (DTW)Electricity marketMetering modeTime domainEnergy consumptionLow-carbon economyIndustrial engineeringPower (physics)2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
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