Search Results - (( user evaluation ((_ algorithm) OR (bat algorithm)) ) OR ( change simulation based algorithm ))
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Task scheduling in cloud computing environment using hybrid genetic algorithm and bat algorithm
Published 2022“…This research will conduct comparison of hybrid Genetic Algorithm and Bat Algorithm (GA-BA) with Genetic Algorithm (GA) and Bat Algorithm (BA). …”
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Performance evaluation and enhancement of EDCA protocol to improve the voice capacity in wireless network
Published 2017“…The OPNET simulator and the mathematical model were used to evaluate the performance for the proposed algorithm. …”
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Cloudlet deployment and task offloading in mobile edge computing using variable-length whale and differential evolution optimization and analytical hierarchical process for decisio...
Published 2023“…Comparing this developed algorithm with other algorithms shows its superiority in multi-objective optimization (MOO) evaluation metrics. …”
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Efficient DNS based Load Balancing for Bursty Web Application Traffic
Published 2012“…The proposed algorithm is evaluated via computer simulation and modeling where its performance is verified against the few selected algorithms of the same nature. …”
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TDMA scheduling analysis of energy consumption for iot wireless sensor network
Published 2019“…The base-work paper of the research presents an improvement of DRAND algorithm based on energy consumption in IoT WSN to enhance the node energy consumption and iv increase the network lifetime. …”
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Quality of service and energy efficient aware (QEEA) scheduling algorithm for long term evolution (LTE) network / Nurulanis Mohd Yusoff
Published 2017“…In terms of number of users in the cell, the algorithm could achieve up to 240% of maximum throughput, 61% reduction in ECR and 150% improvement in EE. …”
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Adaptive differential evolution algorithm with fitness based selection of parameters and mutation strategies / Rawaa Dawoud Hassan Al-Dabbagh
Published 2015“…Hence, the process of choosing a suitable DE strategy and setting its control parameters is difficult and requires much user experience. In this thesis, the fundamental contributions include the analysis, design, and evaluation of the adaptive DE algorithms. …”
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Developing A Prediction Tool To Improve The Shading Efficiency Of The Pedestrian Zones
Published 2020“…The development of the prediction tool was conducted base on integrating three sequenced algorithms, which are sun position algorithm, shadow length and position algorithm, and expansion limit algorithm. …”
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Adaptive linux-based TCP congestion control algorithm for high-speed networks
Published 2017“…Thereafter, extensive simulation experiments are carried out to evaluate the performance of the proposed AF-based CCA compared to C-TCP and Cubic-TCP, which are the default CCAs of the most commonly used operating systems. …”
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An efficient trust-based decision-making approach for WSNs: Machine learning oriented approach
Published 2023“…Machine Learning (ML) has been shown to be an effective tool for trust evaluation in WSNs, offering several benefits over existing schemes such as greater adaptability, scalability, and accuracy since ML algorithms can analyze and learn from the data collected in real-time from multiple sources (sensor readings, network traffic, and user behavior) enabling them to dynamically adjust their decision-making criteria based on the current network conditions. …”
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Efficient hybrid flooding scheme for ad-hoc on-demand distance vector routing protocol in MANET
Published 2014“…The protocol is a distance-based one, which depends on the change in the nodes geographic location to make them exchange their neighbor information. …”
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CONTEXT AWARE TRAFFIC SCHEDULING ALGORITHM FOR COMMUNICATION SYSTEM IN POWER DISTRIBUTION NETWORK
Published 2023“…In order to verify the advantages of the proposed algorithm, it is compared with simulation results without contextual aware algorithm. …”
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The Half-t adaptive error correction algorithm for SDH-based WDM optical networks
Published 2007“…Unlike most previous adaptive FEC algorithms which change to a stronger code for error correction based on either packet losses or erroneous condition, the Half-t algorithm is able to do so before an error occurs. …”
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Implementation of a modified incremental conductance MPPT algorithm with direct control based on a fuzzy duty cycle change estimator using dSPACE
Published 2014“…To eliminate all of the disadvantages of the classic IC algorithm, we developed a new IC controller based on a fuzzy duty cycle change estimator with direct control. …”
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Photovoltaic System with INC MPPT Algorithm in MATLAB Simulink
Published 2013“…Simulation results show that the MPPT with INC algorithm offers the best performance in terms of its fastest response in tracking new MPP and highest efficiency under rapid change of irradiance level.…”
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A robust GA-based QoS routing algorithm for solving multi-constrained path problem
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New perturb and observe algorithm based on trapezoidal rule: uniform and partial shading conditions
Published 2022“…The proposed Trapezoidal rule based P&O algorithm is evaluated under three conditions: (1) under uniform irradiance (2) under shading conditions and (3) under sudden and step changes in irradiation levels as well as the transition between shading patterns. …”
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Modeling And Simulation Of Photovoltaic Module With Enhanced Perturb And Observe MPPT Algorithm Using Matlab/Simulink
Published 2016“…The second part of this paper proposes an enhancement to the conventional perturb and observe (P&O) maximum power point tracking (MPPT) technique in order to overcome the disadvantages of this method such as oscillation and slow tracking under sudden change of atmospheric conditions. The proposed method suggested that utilizing a variable perturbation step size depending on power changes instead of constant step size which is used in conventional P&O algorithm in order to ensure that the solar energy is captured and converted as much as possible. …”
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