Search results for " genetic algorithm"

showing 10 items of 45 documents

Calibration of microscopic traffic simulation models for evaluating operation and safety performance at roundabouts

AIMSUN microsimulation roundabout genetic algorithmSSAM surrogate safety measureturbo-roundaboutsingle-lane roundabouts; double-lane roundabouts; turbo-roundabouts; entry capacity; operations; gap- acceptance parameters; Systematic Review; Meta-analysis; capacity uncertainty; AIMSUN microsimulation roundabout genetic algorithm; passenger car equivalent; SSAM surrogate safety measurecapacity uncertaintygap- acceptance parameteroperationsingle-lane roundaboutpassenger car equivalentSettore ICAR/04 - Strade Ferrovie Ed AeroportiMeta-analysiSystematic Reviewdouble-lane roundaboutentry capacity
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A new approach to portfolio selection based on forecasting

2023

In this paper we analyze the portfolio selection problem from a novel perspective based on the analysis and prediction of the time series corresponding to the portfolio’s value. Namely, we define the value of a particular portfolio at the time of its acquisition. Using the time series of historical prices of the different financial assets, we calculate backward the value that said portfolio would have had in past time periods. A damped trend model is then used to analyze this time series and to predict the future values of the portfolio, providing estimates of the mean and variance for different forecasting horizons. These measures are used to formulate the portfolio selection problem, whic…

Artificial Intelligencetime series analysisGeneral EngineeringfinanceforecastingUNESCO::CIENCIAS TECNOLÓGICASmulti-objective genetic algorithmportfolio optimizationComputer Science Applications
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Application of Genetic Algorithm on Parameter Optimization of Three Vehicle Crash Scenarios

2017

Abstract This paper focuses on the development of mathematical models for vehicle frontal crashes. The models under consideration are threefold: a vehicle into barrier, vehicle-occupant and vehicle to vehicle frontal crashes. The first model is represented as a simple spring-mass-damper and the second case consists of a double-spring-mass-damper system, whereby the front mass and the rear mass represent the vehicle chassis and the occupant, respectively. The third model consists of a collision of two vehicles represented by two masses moving in opposite directions. The springs and dampers in the models are nonlinear piecewise functions of displacements and velocities respectively. More spec…

ChassisComputer scienceModeling010103 numerical & computational mathematics02 engineering and technologyCollision01 natural sciencesCrash testfrontal crashvehicle-occupantDamperNonlinear system020303 mechanical engineering & transports0203 mechanical engineeringControl theoryControl and Systems EngineeringGenetic algorithmparameters estimationgenetic algorithm0101 mathematicsSimulationfrontal crash; genetic algorithm; Modeling; parameters estimation; vehicle-occupant; Control and Systems EngineeringMotor vehicle crash
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Integrated fuzzy classification

2003

Classifier fusion neural network genetic algorithmSettore INF/01 - Informatica
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A genetic system based on simulated crossover of sequences of two-bit genes

2006

AbstractWe introduce a genetic model based on simulated crossover of fixed sequences of two-bit genes. Results are(1)a lower bound on population size is exhibited such that a transition takes the stochastic finite population genetic system near the next state of the deterministic infinite population genetic system (provided both begin in the same state);(2)states and dynamics of the deterministic infinite population genetic system are derived for arbitrary (finite) fitness functions (expressed in terms of multivariate polynomials);(3)in the case of quadratic fitness defined by weight matrices with m nonnull entries it is shown that each state transition can be implemented in time O(m+l), wh…

Discrete mathematicseducation.field_of_studyGeneral Computer SciencePopulation sizeCrossoverPopulationState (functional analysis)Upper and lower boundsQuantitative Biology::GenomicsTheoretical Computer ScienceMarginal distribution genetic algorithmsChromosome (genetic algorithm)Genetic modelGenetic algorithmMax-cut problemeducationAlgorithmComputer Science(all)MathematicsTheoretical Computer Science
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Automatic optimization of multichip RFID tags

2012

The automatic optimization is proposed of the passive RF part of RFID, with special attention to multi-chip tags, and to the novel concept of RFID grids. Performance metrics follows a recent all-comprehensive approach. The proposed approach employs a Genetic Algorithm-based optimization, and an efficient electromagnetic problem parameterization and solution strategy. Resulting structures, while non-intuitive in shape, exhibit enhanced performance.

Electromagnetic fieldRFIDmethod of momentsComputer scienceGenetic Algorithmsmultichip tagtag antennaRFID multi-port antennaRFID; multichip tag; Genetic AlgorithmsmultichipGenetic algorithmElectronic engineeringgenetic algorithmoptimization
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Online optimization of a multi-conversion-level DC home microgrid for system efficiency enhancement

2017

In this paper, an on-line management system for the optimal efficiency operation of a multi-bus DC home distribution system is proposed. The operation of the system is discussed with reference to a distribution system with two conversion stages and three voltage levels. In each of the conversion stages, three paralleled DC/DC converters are implemented. A Genetic Algorithm performs the on-line optimization of the DC network’s global efficiency, generating the optimal current sharing ratios of the concurrent power converters. The overall DC/DC conversion system including the optimization section is modelled using MATLAB/Simulink. Thanks to the implemented online algorithm, considering …

Engineering020209 energyGeography Planning and DevelopmentTransportation02 engineering and technologyPower conversion efficiencyRobustness (computer science)Control theoryMaster-slave control0202 electrical engineering electronic engineering information engineeringElectronic engineeringPeak shavingDC microgridOnline algorithmMATLABDC microgridscomputer.programming_languageCivil and Structural Engineeringbusiness.industryRenewable Energy Sustainability and the Environmentdc microgrids active droop control current sharing genetic algorithm master-slave control power conversion efficiency peak shavingEnergy conversion efficiencyConvertersSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaActive droop controlGenetic algorithmPeaking power plantMicrogridbusinessCurrent sharingcomputerVoltageSustainable Cities and Society
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Hierarchical control with virtual resistance optimization for efficiency enhancement and State-of-Charge balancing in DC microgrids

2015

This paper proposes a hierarchical control scheme which applies optimization method into DC microgrids in order to improve the system overall efficiency while considering the State-of-Charge (SoC) balancing at the same time. Primary droop controller, secondary voltage restoration controller and tertiary optimization tool formulate the complete hierarchical control system. Virtual resistances are taken as the decision variables for achieving the objective. simulation results are presented to verify the proposed approach.

EngineeringHierarchical controlLinear programmingbusiness.industryControl engineeringEfficiencyState-of-chargeSettore ING-IND/33 - Sistemi Elettrici Per L'Energiaefficiency genetic algorithm hierarchical control state-of-chargeState of chargeGenetic algorithmControl theoryGenetic algorithmHierarchical control systemSystem on a chipVoltage droopAlgorithm designbusiness2015 IEEE First International Conference on DC Microgrids (ICDCM)
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Genetic Algorithm Optimized Grid-based RF Fingerprint Positioning in Heterogeneous Small Cell Networks

2015

In this paper we propose a novel optimization algorithm for grid-based RF fingerprinting to improve user equipment (UE) positioning accuracy. For this purpose we have used Multi-objective Genetic Algorithm (MOGA) which enables autonomous calibration of gridcell layout (GCL) for better UE positioning as compared to that of the conventional fingerprinting approach. Performance evaluations were carried out using two different training data-sets consisting of Minimization of Drive Testing measurements obtained from a dynamic system simulation in a heterogeneous LTE small cell environment. The robustness of the proposed method has been tested analyzing positioning results from two different area…

EngineeringKullback-Leibler divergencebusiness.industryReal-time computingFingerprint recognitionGridmulti-objective genetic algorithmminimization of drive testsUser equipmentRobustness (computer science)Genetic algorithmElectronic engineeringgrid-based RF fingerprintingMinificationSmall cellRadio frequencybusiness
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Integrated Approach to Part Scheduling and Inspection Policies for a Job Shop Manufacturing System

2007

The quality of a product greatly depends on the quality of its components. This requires that manufacturing specifications have to be met in the manufacturing environment and as a consequence inspection stations are present in many manufacturing systems and inspection policies must be adopted. One problem, which has been widely investigated, concerns the detection of the inspection points in the hypothesis that the action to be taken is known when a defective part is detected. If different jobs are to be produced, then operation scheduling becomes yet another complex problem needing to be solved. And while the problem of scheduling has received a great amount of attention from researchers, …

EngineeringOperations researchJob-shop scheduling inspection policy genetic algorithmJob shopbusiness.industryStrategy and ManagementScheduling (production processes)Management Science and Operations ResearchIntegrated approachOperation schedulingManufacturing systemsOptimal controlSequential decisionIndustrial and Manufacturing EngineeringSettore ING-IND/17 - Impianti Industriali MeccanicibusinessSettore ING-IND/16 - Tecnologie E Sistemi Di Lavorazione
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