Search Results - (( simulation optimization based algorithm ) OR ( data virtualization based algorithm ))
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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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Resource scheduling algorithm with load balancing for cloud service provisioning
Published 2019“…Increasing utilization of Virtual Machines through effective and fair load balancing is then achieved by dynamically selecting a request from a class using Multidimensional Queuing Load Optimization algorithm. …”
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Energy-efficient algorithms for dynamic virtual machine consolidation in cloud data centers
Published 2017“…Based on the proposed algorithms, energy consumption can be reduced…”
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Modeling And Control Of V-Groove Rotary Impact Driver
Published 2020“…The speed is optimized by using state-flow algorithm with fixed-point data types, thus reduced hardware computational requirement with acceptable accuracy. …”
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Optimising cloud computing performance with an enhanced dynamic load balancing algorithm for superior task allocation
Published 2024“…Additionally, if a VM cannot meet a cloudlet's deadline, the algorithm redirects the cloudlet to a secondary data centre and reconfigures CPU resources among VMs to ensure optimal allocation. …”
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An enhanced motion planning method for industrial robots based on the digital twin concept
Published 2025“…This study proposes a novel motion planning method for six-degree-of-freedom industrial robots based on DT technology. By integrating an improved Artificial potential field method, A* algorithm, and a synergistic approach combining 3-5-3 polynomial interpolation with particle swarm optimization, we effectively address the challenges of dynamic obstacle avoidance and trajectory optimization. …”
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Deep Reinforcement Learning For Control
Published 2021“…The complete project is carried out in the CARLA simulator to determine how to operate in discrete action space using Deep Reinforcement Learning (DRL) algorithms. …”
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A calibration framework for swarming ASVs' system design
Published 2012“…This paper is concerned with the virtual simulation of Autonomous Surface Vessels (ASVs) named, Drosobots, using virtual simulation software i. e. …”
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A Data-driven Sigmoid-based Secretion Rate of Neuroendocrine-PID Control for TRMS System
Published 2021“…This paper investigated the implementation of datadriven sigmoid-based secretion rate of neuroendocrine-PID (SbSR-NEPID) within a twin-rotor MIMO system (TRMS), based on the adaptive safe experimentation dynamics (ASED) algorithm. …”
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Resource management algorithms for wavelength division multiplexing optical metro slotted ring networks
Published 2012“…The proposed Enhanced Virtual Output Queues Management (EVOQM) algorithm provides an elevated fairness for unicast and multicast data in the network. …”
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Efficient hybrid flooding scheme for ad-hoc on-demand distance vector routing protocol in MANET
Published 2014“…Thresholds selection is based on three performance metrics namely: maintenance overhead, number of times the links break and data delivery ratio. …”
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Energy-efficient medium access control strategy for cooperative wireless networks
Published 2016“…In EAP-CMAC, the best transmission mode is selected among direct transmission, traditional cooperation and PNC-based transmission by considering the destination queue and source-destination link quality.Moreover, a joint relay selection and power allocation algorithm is proposed based on location information and the nodes residual energy that significantly improves the network lifetime and energy saving in wireless networks. …”
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Optimization-based simulation algorithm for predictive-reactive job-shop scheduling of reconfigurable manufacturing systems
Published 2022“…In this case, the effectiveness and reliability of RMS is increase by combining the simulation with the optimization algorithm.…”
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Simulated Kalman Filter: A Novel Estimation-based Metaheuristic Optimization Algorithm
Published 2016“…In this paper, a new population-based metaheuristic optimization algorithm, named Simulated Kalman Filter (SKF) is introduced. …”
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Simulated Kalman Filter algorithms for solving optimization problems
Published 2019“…In this research, two novel estimation-based metaheuristic optimization algorithms, named as Simulated Kalman Filter (SKF), and single-solution Simulated Kalman Filter (ssSKF) algorithms are introduced for global optimization problems. …”
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Reinforcement learning-driven hybrid precopy/postcopy VM migration for energy-efficient data centers
Published 2025“…This study demonstrates the effectiveness of integrating GNN-based embeddings and A3C scheduling in terms of reducing downtime and energy usage while maintaining reliable service delivery in data centers.…”
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Angle Modulated Simulated Kalman Filter Algorithm for Combinatorial Optimization Problems
Published 2016“…Inspired by the estimation capability of Kalman filter, we have recently introduced a novel estimation-based optimization algorithm called simulated Kalman filter (SKF). …”
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