Search Results - (optical OR optimal) ((((flow algorithm) OR (growth algorithm))) OR (new algorithm))
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1
Optimal power flow based on fuzzy linear programming and modified Jaya algorithms
Published 2017“…These new conditions have raised the intricacy of OPF problems and necessitate a reliable optimization algorithm that can tackle economic and security concerns. …”
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2
Multilevel optimization for dense motion estimation
Published 2011“…Experimental results on three image sequences using four models of optical flow with different computational efforts show that the FMG/Opt algorithm outperforms significantly both the TN and MR/Opt algorithms in terms of the computational work and the quality of the optical flow estimation.…”
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3
Improved abnormal detection using self-adaptive social force model for visual surveillance
Published 2017“…For this point, Horn-Schunck optical flow is used to get the flow vector for each pixel in the image frames. …”
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4
An evaluation of optical flow algorithms for crowd analytics in surveillance system
Published 2017“…The implementation of optical flow algorithms is investigated and an evaluation of those techniques is provided qualitatively as well as quantitatively. …”
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5
Optimal planning of photovoltaic distributed generation considering uncertainties using monte carlo pdf embedded MVMO-SH
Published 2021“…The load flow patterns will significantly have affected when uncertain PV generation – load models are considered into the power flow algorithm. …”
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6
Optimal power flow using the Jaya algorithm
Published 2016“…This paper presents application of a new effective metaheuristic optimization method namely, the Jaya algorithm to deal with different optimum power flow (OPF) problems. …”
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7
The Evolutionary Convergent Algorithm: A Guiding Path of Neural Network Advancement
Published 2025Subjects:Article -
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A novel quasi-oppositional modified Jaya algorithm for multi-objective optimal power flow solution
Published 2018“…This study introduces a novel meta-heuristic optimization algorithm known as quasi-oppositional modified Jaya (QOMJaya) to solve different multi-objective optimal power flow (MOOPF) problems. …”
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9
Simulation of image fusion of dual modality (electrical capacitance and optical tomography) in solid/gas flow
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10
Hybrid firefly and particle swarm optimization algorithm for multi-objective optimal power flow with distributed generation
Published 2022“…A new meta-heuristic optimization technique called the Slime Mould Algorithm (SMA) approach has a high convergence rate or a few iterations and superior optimization indices analyzed against other algorithms. …”
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11
Linear optimization method by using a new iterative algorithm for available transfer capability (ATC)
Published 2009“…This paper presents a simple and accurate method for calculating ATC with a linear optimization method. Since the limitations of linear ATC calculations is the error produced by neglecting the nonlinear nature of real power flows. …”
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12
Liquid Flow Enhancement using Natural Polymeric Additives: Effect of Concentration
Published 2016“…In this paper, a new population-based metaheuristic optimization algorithm, named Simulated Kalman Filter (SKF) is introduced. …”
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13
Economic power dispatch solutions incorporating stochastic wind power generators by moth flow optimizer
Published 2023“…Because the field of EA is evolving, it may be necessary to reevaluate the usage of new algorithms to solve optimization problems involving power systems. …”
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14
Implementation of a new Preference Based Final Year Project title selection system for undergraduate engineering students in UNITEN
Published 2023Subjects:Article -
15
A new soft computing model for daily streamflow forecasting
Published 2023“…Climate change; Data streams; Floods; Forecasting; Genetic algorithms; Hydroelectric power plants; Mean square error; Multilayer neural networks; Particle swarm optimization (PSO); Soft computing; Soil conservation; Water conservation; Water management; Water supply; Flow quantification; Multi layer perceptron; Optimization algorithms; Predicting models; Root mean square errors; Soft computing models; Streamflow forecasting; Watershed management; Stream flow; algorithm; forecasting method; hydroelectric power plant; numerical model; optimization; principal component analysis; streamflow; watershed; Helianthus…”
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16
A trade-off criterion for bi-objective problem in solving hybrid flow shop scheduling with energy efficient (EE-HFS) using multi-objective dragonfly algorithm (MODA)
Published 2024“…The optimization result was compared with well-established algorithms, the Pareto Envelope-based Selection Algorithm II (PESA2), Multi-Objective Evolutionary Algorithm Based on Decomposition (MOEA/D), and new algorithms, Multi-Objective Grasshopper Optimization Algorithm (MOGOA) and Multi-Objective Ant Lion Optimizer (MOALO). …”
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17
Embedded system based solid-gas mass flow rate meter using optical tomography
Published 2006“…Optical tomography provides a method to view the cross sectional image of flowing materials in a pipeline conveyor. …”
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18
Development of Simulated Annealing Based Scheduling Algorithm for Two Machines Flow Shop Problem
Published 2015“…Viewing as optimization problem and focusing on two machines, this research aims to develop a new Simulated Annealing based scheduling algorithm, called SA2M, for flow shop problem. …”
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19
An optimized aggregate marker algorithm for bandwidth fairness improvement in classifying traffic networks
Published 2016“…This article analyses and evaluates a new time sliding window traffic marker algorithm called the Optimized time sliding window Three Colour Marker (OtswTCM). …”
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Multimedia traffic routing in multilayer WDM networks
Published 2012“…Multilayer wavelength division multiplexing (WDM) packet switching is an emerging technology for increasing the bandwidth of optical networks.Two algorithms for the routing of the multimedia traffic flows were applied: (i) Capacitated Shortest Path First (CSPF) routing, which minimizes the distance of each flow linking the given source and destination nodes and satisfying capacity constraints; and (ii) Flow Deviation Algorithm (FDA) routing, which minimizes the network�wide average packet delay. …”
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