Search Results - (( new evaluation study algorithm ) OR ( time simulation based algorithm ))*
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1
Parallel algorithms for numerical simulations of EHD ion-drag micropump on distributed parallel computing systems
Published 2014“…The results showed that the parallel algorithms for EHD simulations may provide 4 to 5 times more speedup over sequential algorithm for large grid sizes. …”
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2
Adaptive intelligence job online scheduling within dynamic grid environment based on gridsim
Published 2008“…This paper concentrates on the design and implement of the grid system for study of adaptive job scheduling algorithm based on GridSim. …”
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3
Selection and optimization of peak features for event-related eeg signals classification / Asrul bin Adam
Published 2017“…This study resulted in a new generalized model based on the best performance among the four novels simulated Kalman filter (SKF) approaches. …”
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4
A new machine learning-based hybrid intrusion detection system and intelligent routing algorithm for MPLS network
Published 2023“…The dataset development for both algorithms is carried out via simulations in Graphical Network Simulator 3 (GNS3). …”
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Optimisation model for scheduling MapReduce jobs in big data processing / Ibrahim Abaker Targio Hashem
Published 2017“…In this study, we aim to optimize task scheduling and resource utilization using an evolutionary algorithm based on the proposed completion time and monetary cost of cloud service models. …”
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6
New Fast Block Matching Algorithm Using New Hybrid Search Pattern And Strategy To Improve Motion Estimation Process In Video Coding Technique
Published 2016“…The first method involves the manipulation of the diamond pattern in the process, the second method includes the manipulation of the orthogonal steps, and lastly, the third method is the modified version of the second method to improve the performances of the algorithms. Evaluation is based on the algorithm performances in terms of the search points needed to find the final motion vector, the Peak-Signal to Noise Ratio (PSNR) of the algorithms, and the runtime performance of algorithm simulations. …”
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7
Hybrid moth flame optimization mppt algorithm for accurate real-time tracking under partially shaded photovoltaic system
Published 2021“…However, the high computational power of PSO becomes a disadvantage in real-time and highly dynamic MPPT application. In addition, with the continuous improvement effort and the possibility of a new-comer algorithm can show superior results on the current problem, a new MFO based MPPT algorithm was proposed. …”
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8
Dynamic obstacle handling in multi-robot coverage
Published 2024“…The impacts of the modified algorithm’s parameters on simulation results were also studied to determine the optimal parameters for achieving better performance. …”
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Final Year Project / Dissertation / Thesis -
9
Parameter characterization of PEM fuel cell mathematical models using an orthogonal learning-based GOOSE algorithm
Published 2025“…This study proposed an improved parameter estimation procedure for PEMFCs by using the GOOSE algorithm, which was inspired by the adaptive behaviours found in geese during their relaxing and foraging times. …”
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Fair bandwidth distribution marking and scheduling algorithm in network traffic classification
Published 2019“…Second, propose an Optimized Time Sliding Window based Three Colour Marker. Finally, propose a new method of obtaining optimal parameters dropping functions for Random Early Detection (RED) algorithm. …”
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Q-learning based vertical handover decision algorithm in LTE-A two-tier macrocell-femtocell systems / Ammar Bathich
Published 2019“…The proposed handover algorithms are validated using the LTE-Sim simulator under an urban environment. …”
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12
CDRA: A Community Detection based Routing Algorithm for Link Failure Recovery in Software Defined Networks
Published 2021“…The simulation results depicts that the proposed CDRA scheme have better simulations results and reduce average round trip time by 35.73, avg data packet loss by 1.26 and average end to end delay 49.3 than the Dijkstra based general recovery algorithm and also can be used on a large scale network platform. …”
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Priority based fair scheduling : Enhancing efficiency in cloud job distribution
Published 2023“…In this study, we introduce a new PR scheduler called Priority Based Fair Scheduling (PBFS), which takes into account key parameters such as CPU Time, Job Arrival Time, and Job Length. …”
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Topology-aware hypergraph based approach to optimize scheduling of parallel applications onto distributed parallel architectures
Published 2020“…For these reasons, to improve the time and accuracy of the coverage in population-based meta-heuristics and their utilization in HPAs, this thesis presents a novel optimization algorithm called the Raccoon Optimization Algorithm (ROA). …”
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15
Impatient job scheduling under cloud computing
Published 2012“…The proposed system is evaluated via simulation using synthetic data. F rom the results, the proposed algorithm improved the jobs throughput by reducing jobs waiting time by 8 1 .5 % , allowing more jobs to meet their deadlines.…”
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16
Independent task scheduling algorithms in fog environments from users’ and service providers’ perspectives: a systematic review
Published 2025“…To assure unbiased evaluation, a benchmark to assess task scheduling algorithms is proposed based on comparison to state-or-art algorithms, applicability to real-world contexts, meeting the objectives of the study, negative impacts on other performance metrics, and sizes of datasets used for evaluation. …”
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Fuzzy clustering method and evaluation based on multi criteria decision making technique
Published 2018“…For a real problem application, we consider the data from Gulf Commercial Bank in Iraq. This study revealed that the GK along with the MBPSO algorithm showed a better performance as compared to the GK algorithm alone. …”
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18
Operation of three-level inverter-based shunt active power filter under nonideal grid voltage conditions with dual fundamental component extraction
Published 2018“…Design concept and effectiveness of the proposed algorithm are thoroughly studied and evaluated in MATLAB-Simulink. …”
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A comparative study for parameter selection in online auctions
Published 2009“…All these tasks are somewhat complex and time consuming. The task even gets more complicated when there are different start and end times and when the auctions employ different protocols. …”
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20
Process Planning Optimization In Reconfigurable Manufacturing Systems
Published 2008“…The five (5) AADTs include; a variant of the simulated annealing algorithm that implements heuristic knowledge at critical decision points, two (2) cooperative search schemes based on a “loose hybridization” of the Boltzmann Machine algorithm with (i) simulated annealing, and (ii) genetic algorithm search techniques, and two (2) modified genetic algorithms. …”
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