Search Results - (( initial simulation study algorithm ) OR ( using optimization method algorithm ))
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Simulated Kalman Filter algorithms for solving optimization problems
Published 2019“…The algorithms are evaluated using 30 benchmark functions of the CEC2014 benchmark suite, and then applied to solve PCB drill path optimization case study. …”
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Comparative Analysis of Low Discrepancy Sequence-Based Initialization Approaches Using Population-Based Algorithms for Solving the Global Optimization Problems
Published 2021“…Metaheuristic algorithms have been widely used to solve diverse kinds of optimization problems. …”
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Studying the Impact of Initialization for Population-Based Algorithms with Low-Discrepancy Sequences
Published 2021“…To solve different kinds of optimization challenges, meta-heuristic algorithms have been extensively used. …”
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Improved opposition-based particle swarm optimization algorithm for global optimization
Published 2021“…Particle Swarm Optimization (PSO) has been widely used to solve various types of optimization problems. …”
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Fuzzy clustering method and evaluation based on multi criteria decision making technique
Published 2018“…The proposed algorithm is used as a pre-processing method for data followed by Gustafson-Kessel (GK) algorithm to classify credit scoring data. …”
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Optimization of stiffened panel fatigue life by using finite element analysis
Published 2020“…Three optimization methods: screening, multi-objective genetic algorithm and adaptive multi-objective algorithm were adopted in this study. …”
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Solving university examination timetabling problem using intelligent water drops algorithm
Published 2024Conference Paper -
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Modelling of multi-robot system for search and rescue
Published 2023“…The simulations conducted using MATLAB demonstrate the superiority of the MPSO algorithm over the PSO algorithm in terms of average path length and execution time of all robots in all three proposed scenarios: 16 meter shorter and 7.1 seconds faster in the first scenario, 17.89 meters shorter and 6.14 seconds faster in scenario 2, and 6.18 meters shorter and 8.47 seconds faster in scenario 3. …”
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Power system stabilizer optimization using BBO algorithm for a better damping of rotor oscillations owing to small disturbances
Published 2023“…Algorithms are simulated with the help of MATLAB�and Simulink�. …”
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Finite impulse response optimizers for solving optimization problems
Published 2019“…Simulated Kalman filter (SKF) algorithm is one of the algorithms under this classification. …”
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11
Optimization of substation grounding grid design for horizontal and vertical multilayer and uniform soil condition using Simulated Annealing method
Published 2021“…This paper presents the results of optimization for substation grounding systems using the Simulated Annealing (SA) algorithm in different soil conditions which conforms to the safety requirements of the grounding system. …”
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Finite impulse response optimizers for solving optimization problems
Published 2019“…Simulated Kalman filter (SKF) algorithm is one of the algorithms under this classification. …”
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Solving University Examination Timetabling Problem Using Intelligent Water Drops Algorithm
Published 2024“…As an initial study, the IWD Algorithm is tailored to solve uncapacitated examination timetabling problem by using carter 1996 dataset and is able to produce acceptable results, though they were not better than the the results that already reported in the literature. …”
Proceedings Paper -
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Topology-aware hypergraph based approach to optimize scheduling of parallel applications onto distributed parallel architectures
Published 2020“…Any optimization algorithm is suitable for only a specific domain of optimization problems. …”
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Nature-Inspired Drone Swarming for Wildfires Suppression Considering Distributed Fire Spots and Energy Consumption
Published 2024“…Our quantitative tests show that the improved model has the best coverage (95.3%, 84.3% and 65.8%, respectively) compared to two other methods Levy Flight (LF) algorithm and Particle Swarm Optimization (PSO), which use the same initial parameter values. …”
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Active vibration control of a flexible beam structure using chaotic fractal search algorithm
Published 2017“…In conclusion, the simulation study indicates that the CFS algorithm possess capability to extract an adequate and stable model of the flexible beam structure, hence a better performance of control strategy can be achieved.…”
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Unsupervised Deep Learning Algorithm to Solve Sub-Surface Dynamics for Petroleum Engineering Applications
Published 2020“…The propsed algorithm could be valuable aid for analyzing the fluid flow and reservoir simulation in an effective manner. …”
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Scheduling dynamic cellular manufacturing systems in the presence of cost uncertainty using heuristic method
Published 2016“…Then, design of experiments is used to examine the sensitivity of the parameters of each solving algorithm using Taguchi method. …”
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