Search Results - Flow selection algorithm
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1
Load flow method using genetic algorithm
Published 2003“…Genetic algorithms (GAs) are search methods based on the natural selection and natural genetics, while power flow studies, commonly known as load flow, form an important part of power system analysis. …”
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2
Algorithmic approaches in model selection of the air passengers flows data
Published 2015“…Algorithm is an important element in any problem solving situation.In statistical modelling strategy, the algorithm provides a step by step process in model building, model testing, choosing the ‘best’ model and even forecasting using the chosen model.Tacit knowledge has contributed to the existence of a huge variability in manual modelling process especially between expert and non-expert modellers.Many algorithms (automated model selection) have been developed to bridge the gap either through single or multiple equation modelling.This study aims to evaluate the forecasting performances of several selected algorithms on air passengers flow data based on Root Mean Square Error (RMSE) and Geometric Root Mean Square Error (GRMSE).The findings show that multiple models selection performed well in one and two step-ahead forecast but was outperformed by single model in three step-ahead forecasts.…”
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3
Implementation of a new Preference Based Final Year Project title selection system for undergraduate engineering students in UNITEN
Published 2023Subjects:Article -
4
Modelling of optimized hybrid debris flow using airborne laser scanning data in Malaysia
Published 2019“…Cuckoo search), and evaluator or model inducing algorithms (e.g SVM) were utilized for feature subset selection, which further compared to select the optimal conditioning factors subset. …”
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5
The Use of Artificial Neural Networks and Genetic Algorithms for Effectively Optimizing Production from Multiphase Flow Wells
Published 2010“…Moreover, the output from the ANNs will be utilized plus selected other input parameters as controlling variables for optimizing the production from a multiphase producing field using Genetic Algorithms (GA).…”
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6
Immune network algorithm in monthly streamflow prediction at Johor river
Published 2014“…Immune Network Algorithm is part of the three main algorithm in AIS. …”
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7
A comparative evaluation of heuristic and metaheuristic job scheduling algorithms for optimized resource management in cloud environments
Published 2026“…The CloudSim simulator is applied to evaluate each algorithm using key performance metrics, including makespan, average flow time, and the number of cloudlets that fail to meet deadlines. …”
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8
Immune network algorithm in monthly streamflow prediction at Johor river
Published 2015“…Immune Network Algorithm is part of the three main algorithm in AIS. …”
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Article -
9
Immune network algorithm in monthly streamflow prediction at Johor river
Published 2023“…Immune Network Algorithm is part of the three main algorithm in AIS. …”
Article -
10
Optimal placement and sizing of FACTS devices for optimal power flow using metaheuristic optimizers
Published 2022“…These algorithms are selected from the different metaheuristics classification groups, where the implementation of these algorithms into the said problems will be tested on the modified IEEE 14-bus system. …”
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11
Solution of optimal power flow using non-dominated sorting multi-objective based hybrid firefly and particle swarm optimization algorithm
Published 2020“…In this paper, a multi-objective hybrid firefly and particle swarm optimization (MOHFPSO) was proposed for different multi-objective optimal power flow (MOOPF) problems. Optimal power flow (OPF) was formulated as a non-linear problem with various objectives and constraints. …”
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12
Optimizing Ram Testing Method For Test Time Saving Using Automatic Test Equipment
Published 2017“…A memory Build-in Self-test (BIST) design with capability of algorithm failing sequence capture have been developed to implement in the Automate Test Equipment (ATE) flow for production screen. 3 selected algorithm have been tested on the 8 detect units in ATE flow to prove the concept of this method. …”
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13
Optimal power flow incorporating stochastic wind and solar generation by metaheuristic optimizers
Published 2021“…To assess the performance of these selected metaheuristic algorithms on OPF, a modified IEEE 30-bus system that incorporate the stochastic wind and solar power generators will be used. …”
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14
Network reconfiguration and control for loss reduction using genetic algorithm
Published 2010“…The proposed solution to this problem is based on a general combinatorial optimization algorithm known as Genetic Algorithm, and the load flow equations in distribution network. …”
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15
A novel quasi-oppositional modified Jaya algorithm for multi-objective optimal power flow solution
Published 2018“…A fuzzy decision-making strategy is proposed and incorporated into the Jaya algorithm as selection criteria for best and worst solutions. …”
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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 (EE-HFS) optimization has been carried out using the Multi-Objective Dragonfly Algorithm (MODA). 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
Database encryption for a Web-based Claims System
Published 2008“…Testing was also done on the encryption algorithms and Web browsers selected by increasing both the text length size and key length size and observed its performances. …”
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18
Optimal power flow solutions for power system operations using moth-flame optimization algorithm
Published 2020“…Then the obtained result from the MFO algorithm is compared with other selected well-known algorithms. …”
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19
Simulation of the flow pattern around spur dykes using FLUENTS
Published 1999“…The RNG k-eformulation in FLUENT has been validated against selected benchmark solutions of flow in the vicinity of spur dykes. …”
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20
Optimal power flow with renewable power generations using hyper-heuristic technique
Published 2024“…The solution employs a high-level hyper-heuristic technique called Exponential Monte Carlo with counter (EMCQ) to solve the problem of loss minimization. The technique selects and integrates the strengths of three low-level meta-heuristics algorithms, including Grey Wolf Optimizer (GWO), Barnacles Mating Optimizer (BMO), and Whale Optimization Algorithm (WOA), to achieve the best possible results. …”
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