Search Results - (( numerical optimization based algorithm ) OR ( loading optimization based algorithm ))
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Priority-based vehicle-to-grid scheduling for minimization of power grid load variance
Published 2023“…The developed algorithm also optimizes the amount of charging/discharging power based on the electric vehicle battery's state-of-charge. …”
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Differential evolution optimization algorithm based on generation systems reliability assessment integrated with wind energy
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Priority-based vehicle-to-grid scheduling for minimization of power grid load variance
Published 2023Article -
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Optimization of stiffened panel fatigue life by using finite element analysis
Published 2020“…The multi-objective genetic algorithm which selects the design points based on Pareto optimal design combined with the adaptive multi-objective algorithm method which uses an optimal space-filling was shown to be efficient for time limitation and budget. …”
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Improved gravitational search algorithm for optimal placement and sizing of distributed generation for power quality enhancement
Published 2017“…In order to obtain the best compromise solution, a novel heuristic algorithm based on improved gravitational search algorithm (IGSA) is proposed as an optimization technique. …”
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Firefly analytical hierarchy algorithm for optimal allocation and sizing of distributed generation in radial distribution network
Published 2022“…The results showed that the Firefly Algorithm (FA) performs much better for the optimal allocation and sizing of DG compared to the other metaheuristic techniques, particularly based on convergence characteristics and standard deviation. …”
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Modeling and multi-objective optimal sizing of standalone photovoltaic system based on evolutionary algorithms
Published 2020“…The IEM algorithm uses the attraction-repulsion mechanism to change the positions of solutions towards the optimality. …”
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Load-Balancing Models for Scheduling Divisible Load on Large Scale Data Grids
Published 2009“…The third stage integrates the proposed DLT based models with GA algorithm to solve the time consuming problem. …”
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A krill herd behaviour inspired load balancing of tasks in cloud computing
Published 2017“…The speed, task cost, and weight of the tasks were first determined, after which, the Krill herd optimization algorithm was for the load balancing based on the measured parameters. …”
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Computational simulation for analysis and synthesis of impact resilient structure
Published 2013“…The second objective is to utilize the computational algorithm for direct numerical simulation, and as a parallel scheme, commercial off-the shelf numerical code is utilized for parametric study, optimization and synthesis. …”
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Inverse parameter identification of elastic and inelastic constitutive material models
Published 2011“…This numerical tool combines an optimization algorithm with a finite element solver giving the material response to arbitrary loading. …”
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Computational simulation for static and dynamic load of rectangular plate in elastic region for analysis of impact resilient structure.
Published 2012“…The second objective is to utilize the computational algorithm for direct numerical simulation, and as a parallel scheme, commercial off-the shelf numerical code is utilized for parametric study, optimization and synthesis. …”
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Effect of input variables selection on energy demand prediction based on intelligent hybrid neural networks
Published 2015“…A hybrid approach that combines ANN and an evolutionary optimization technique, genetic algorithm (GA) is used for the development of a short term load forecast (STLF) model. …”
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Loss reduction in distribution networks using new network reconfiguration algorithm
Published 1996“…The solution employs a search over different radial configurations, created by considering branch exchange type switches. The solution algorithm for loss minimization has been developed based on the two stage solution methodology. …”
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Statistical appraisal of economic design strategies of LV distribution networks
Published 2011“…The test networks are generated using a fractal-based algorithm that allows creation of generic networks with various topological features (e.g., typical of rural/urban/mixed areas) and characterised by different numbers of substations, numbers of customers, load densities, and so forth. …”
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Quality prediction and classifcation of resistance spot weld using artifcial neural network with open‑sourced, self‑executable andGUI‑based application tool Q‑Check
Published 2023“…In this study, application tool using open-sourced and customized algorithm based on artifcial neural networks (ANN) was developed to enable better, fast, cheap and practical predictions of major parameters such as welding time, current and electrode force on tensile shear load bearing capacity (TSLBC) and weld quality classifcations (WQC). …”
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Quality prediction and classifcation of resistance spot weld using artifcial neural network with open‑sourced, self‑executable andGUI‑based application tool Q‑Check
Published 2023“…In this study, application tool using open-sourced and customized algorithm based on artifcial neural networks (ANN) was developed to enable better, fast, cheap and practical predictions of major parameters such as welding time, current and electrode force on tensile shear load bearing capacity (TSLBC) and weld quality classifcations (WQC). …”
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