Search Results - (( control optimization method algorithm ) OR ( data reduction methods algorithm ))
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1
Network reconfiguration and control for loss reduction using genetic algorithm
Published 2010“…In this work a feeder reconfiguration algorithm is presented for the purpose of power loss reduction in distribution networks. …”
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2
Hybridization of nonlinear sine cosine and safe experimentation dynamics algorithms for solving control engineering optimization problems
Published 2024“…The empirical assessment of these proposed methods encompasses a diverse set of 23 benchmark functions, demonstrating their efficacy comparable to well-established metaheuristic algorithms such as as the Grey Wolf Optimizer (GWO), Multi-Verse Optimization (MVO), Sine Cosine Algorithm (SCA), Ant Lion Optimizer (ALO), Moth-Flame Optimization Algorithm (MFO), and Grasshopper Optimization Algorithm (GOA). …”
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3
Energy Management in Integrated Microgrids: An Optimal Schedule Controller Utilizing Gradient Descent Algorithm
Published 2024“…Weather data, including wind, solar, fuel, and battery status, is integrated into the BGD algorithm for optimizing ON and OFF schedules. …”
Conference Paper -
4
Quality of service in mobile IP networks with parametric multi-channel routing algorithms based on linear programming approach
Published 2018“…Furthermore, Optimized Parametric Topology Control Routing algorithm performs significantly better than Triangular Routing Method and Change Foreign Agent Algorithm. …”
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5
Mobility management schemes based on multiple criteria for optimization of seamless handover in long term evolution networks
Published 2014“…The results demonstrated that our proposed method results in significant reductions of HOF, HOPP and packet loss ratio (PLR) compared to the conventional HHO and enhanced weighted performance HO parameter optimization (EWPHPO) algorithm. …”
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6
Multi-objective optimization of stand-alone hybrid renewable energy system by genetic algorithm
Published 2013“…Among these methods, Genetic Algorithm and Particle Swarm Optimization are known as two most effective methods for HRESs. …”
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7
Efficient classifying and indexing for large iris database based on enhanced clustering method
Published 2018“…From the experimental results, the proposed method was indeed more effective for clustering and classification and outperformed the traditional k-mean algorithm. …”
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8
Mathematical models and optimization algorithms for low-carbon Location-Inventory-Routing Problem with uncertainty
Published 2024“…Empirical validation using benchmark dataset and real-world data from three logistics companies in China demonstrates significant improvements in supply chain efficiency and cost reduction. …”
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9
Improved genetic algorithm for direct current motor high speed controller implemented on field programmable gate array
Published 2019“…There are many researches have been done to optimize PI controller based evolutionary algorithm, such as Genetic Algorithm (GA). …”
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10
Development of data-driven controller for slosh suppression in liquid cargo vehicles
“…Therefore, it is necessary to develop a control method that does not depend on plant models, which is known as the data-driven control approach. …”
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Research Report -
11
An improved hybrid method combined with a cloud-based supervisory control to facilitate smooth coordination under low-inertia grids
Published 2025“…Furthermore, integrated with IoT-based control, the optimized hybrid generalized droop method mitigates transient instabilities, as evidenced by a 29 % reduction in voltage overshoot during fault clearance. …”
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12
Optimal configuration of wind farms in radial distribution system using particle swarm optimization technique
Published 2018“…The optimal location for these wind farms were pinpointed via particle swarm optimization (PSO) algorithm using standard IEEE 33 radial distribution system. …”
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13
Optimal configuration of wind farms in radial distribution system using particle swarm optimization technique
Published 2018“…The optimal location for these wind farms were pinpointed via particle swarm optimization (PSO) algorithm using standard IEEE 33 radial distribution system. …”
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14
A study on model-free approach for liquid slosh suppression based on stochastic approximation
“…Therefore, it is necessary to develop a control method that does not depend on plant models, which is known as the model-free control approach. …”
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15
Data-driven PID tuning for liquid slosh-free motion using memory-based SPSA algorithm
Published 2018“…The effectiveness of this algorithm is tested to data-drive PID tuning for liquid slosh problem. …”
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Book Chapter -
16
PID controller based on bird mating optimizer for vibration cancellation of horizontal flexible plate
Published 2022“…Then, the linear autoregressive with exogenous (ARX) model is selected as a model structure for model development using system identification method via bird mating optimizer (BMO) algorithm. …”
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17
Resource management algorithms for wavelength division multiplexing optical metro slotted ring networks
Published 2012“…The proposed Enhanced Virtual Output Queues Management (EVOQM) algorithm provides an elevated fairness for unicast and multicast data in the network. …”
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18
Statistical approach toward achieving green cloud computing in virtualized single server environment / Mohd Badrulhisham Ismail
Published 2020“…The process capability theory and pre-control method were applied to monitor and optimise the overall power consumption and stability performance. …”
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19
Regression test case selection & prioritization using dependence graph and genetic algorithm
Published 2014“…The goal is to identify changes in a method's body due to data dependence, control dependence and dependent due to object relation such as inheritance and polymorphism, select the test cases based on affected statements and ordered them based on their fitness by using GA.The number of affected statements determined how fit a test case is good for regression testing. …”
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20
Data-driven PID tuning based on safe experimentation dynamics for control of double-pendulum-type overhead crane
Published 2018“…The SED algorithm is used to find the optimal PID parameters such that the hook and load swing angles are minimized. …”
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Book Chapter
