Search Results - (( loading optimization based algorithm ) OR ( software optimization approach algorithm ))
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Billet shape optimization for minimum forging load
Published 2008“…Finite element software (ANSYS) was used to simulate closed die forging process and then performing a series of optimization iterations in order to obtain the optimal shape of the billet based on forging load minimization. …”
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Reliability-aware swarm based multi-objective optimization for controller placement in distributed SDN architecture
Published 2023“…A metaheuristic Particle Swarm Optimization (PSO) algorithm was combined with RDMCP to form a hybrid approach that improves objective function optimization in terms of reliability and cost-effectiveness. …”
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Controller placement problem in the optimization of 5G based SDN and NFV architecture
Published 2021“…If the control plane fails to improve system resilience quality, A reliable RAMCP is formulated as an optimal solution for fault tolerance. Furthermore, the approach is extended with a Particle Swarm Algorithm (PSO) and presented as a hybrid RASCP to validate the optimal location and number of controllers. …”
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Hybrid least squares support vector machines for short term predictive analysis
Published 2017“…Moth-flame Optimization (MFO) algorithm is a relatively new optimization algorithm which is classified as Swarm Intelligence (SI). …”
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Electricity distribution network for low and medium voltages based on evolutionary approach optimization
Published 2015“…The proposed algorithm has been evaluated on the two types of distribution network models which are the distribution network model with 500 customers that includes LV residential and commercial loads as well as MV distribution network, and 164 nodes in MV level. …”
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Heuristic resource allocation algorithm for controller placement in multi-control 5G based on SDN/NFV architecture
Published 2021“…A Greedy Randomized Search (GRS) algorithm was used to solve the dynamic assignment of nodes to controllers to achieve load balancing. …”
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Harmonic Elimination Pulse Width Modulation Using Differential Evolution Technique For Three Phase Voltage Source Inverter
Published 2018“…Differential Evolution (DE) has been gaining popularity among researchers as an effective yet simple evolutionary algorithm to solve the optimization problems. This thesis presents an efficient and reliable DE based solution applied to the Harmonics Elimination Pulse Width Modulation (HEPWM) switching technique for three phase voltage source inverters. …”
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Capacity planning for mixed-load tester under demand and testing time uncertainty
Published 2018“…Currently,the company’s issue is low tester utilization of about 71%,well below the target of 96%.The objective of this research is to improve tester utilization while achieving the production target under uncertain demand and testing time and also to determine the break-even point on the testers required.A novel approach of integrating a mathematical model,robust optimization model,genetic algorithm,simulation model and cost–volume –profit analysis was developed.Firstly,a mathematical model of mixed-load tester was formulated.Next,a set of discrete scenarios was proposed to address uncertain demand and testing time.A robust optimization and genetic algorithm model was developed to optimize the number of testers under the described uncertainties.Next,these scenarios were simulated using the Pro Model simulation software to validate the proposed models and to evaluate throughput and tester utilization.Finally,the cost–volume–profit analysis was performed for scenarios that require additional testers at various levels of uncertainties.The results showed that the proposed solution improved tester utilization by 25% compared to the current system.This research has contribution by developing novel hybrid methodology and able to provide useful insights to assist company’s managers to plan and allocate resources according to variations in customers’ demands and testing time.…”
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Loss reduction in distribution networks by network reconfiguration: a two stage solution approach
Published 2004“…The solution algorithm for loss minimization has been developed based on a two-stage solution methodology. …”
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Sizing of battery energy storage system: A multi-objective optimization approach in DIgSILENT powerfactory
Published 2023“…Formulation for multiple objectives for optimization of BESS sizing with particle swarm optimization (MOPSO) and load flow simulation are applied in the DPL script. …”
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An artificial neural network in short term load forecasting / Norhayati Rahim
Published 1999“…Two approaches of ANN algorithms i.e. the Back-Propagation Network (BPN) and Modular Neural Network (MNN) were investigated. …”
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Load shedding scheme based on frequency and ranked stability index considering optimal selectivity of load in islanded distribution system / Norazliani Md Sapari
Published 2018“…The proposed scheme also considered the optimal load to be shed based on the VS index and power imbalance criteria. …”
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A simulation-metaheuristic approach for finding the optimal allocation of the battery energy storage system problem in distribution networks
Published 2023“…This study will use Teaching Learning-Based Optimization (TLBO) as the main optimizer for the problem simulation. …”
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Grey wolf optimization and differential evolution-based maximum power point tracking controller for photovoltaic systems under partial shading conditions
Published 2022“…Furthermore, the proposed system is developed in the MATLAB/Simulink software. The system is investigated under distinct atmospheric conditions and compared its performance with other studied approaches. …”
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A practical multi-objective design approach for optimum exhaust heat recovery from hybrid stand-alone PV-diesel power systems
Published 2017“…In this paper, a new approach for practical design of these systems based on varying engine loads is presented. …”
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High impedance fault detection and localization in 11kV distribution system / Mohd Syukri Ali
Published 2018“…The second technique, based on intelligent approach is proposed to identify the location of HIF. …”
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