Search Results - (( intelligence work computer algorithm ) OR ( intelligence task scheduling algorithm ))
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Two objectives big data task scheduling using swarm intelligence in cloud computing
Published 2016“…On the other hand, scheduling algorithms; starting from traditional to Hyper-heuristic; are widely used in computing systems such as cloud computing to monitor the use of resources. …”
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Multi agent quality of service routing based on scheme ant colony optimization algorithm
Published 2014“…The proposed scheme has been simulated by OMNET++ and compared with standard AntNet and two well-known standard QoS routings; Widest Shortest Path (WSP) algorithm and Shortest Widest Path (SWP) algorithm. …”
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Thesis -
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Hybrid ant colony system algorithm for static and dynamic job scheduling in grid computing
Published 2015“…The main part of RMS is the scheduler algorithm which has the responsibility to map submitted tasks to available resources. …”
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Evaluate the performance of university timetabling problem with various artificial intelligence techniques
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Final Year Project / Dissertation / Thesis -
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Task scheduling in cloud computing using Harris-Hawk Optimization
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Proceedings -
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Semantic-Based, Scalable, Decentralized and Dynamic Resource Discovery for Internet-Based Distributed System
Published 2010“…We further introduce two intelligent agents to automate the discovery process which are Request Agent (RA) and Description Agent (DA). …”
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Managing risk in production scheduling under uncertain disruption
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Development of optimized maintenance scheduling model for coal-fired power plant boiler
Published 2023“…Computing intelligence is a soft-computing subset of artificial intelligence referring to the potential of a computer to gain knowledge from an experimental observations or specific task. …”
text::Thesis -
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A Theoretical Framework for Big Data Analytics Based on Computational Intelligent Algorithms with the Potential to Reduce Energy Consumption
Published 2019“…This work highlights that big data analytics using computational intelligent algorithms generates a very high amount of energy, especially during the training phase. …”
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A theoretical framework for big data analytics based on computational intelligent algorithms with the potential to reduce energy consumption
Published 2019“…This work highlights that big data analytics using computational intelligent algorithms generates a very high amount of energy, especially during the training phase. …”
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Book Chapter -
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Intelligent dashboard with speech enhancement
Published 1997“…Numerous asynchronous scheduling tasks necessitate the architecture to be re-configurable. …”
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Proceeding Paper -
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Swarm intelligence optimization algorithms: a review
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Processing time estimation in precision machining industry using AI / Lim Say Li
Published 2017“…Neural Network (NN) model is chosen as the artificial intelligence approach used in this research. Levenberg-Marquardt algorithm is used as the training algorithm. …”
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Advanced computational geometry for proximity queries of convex polyhedras
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Working Paper -
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Optimal location and size estimation of distributed generators by employing grouping particle swarm optimization and grouping genetic algorithm
Published 2017“…This work is aimed to decrease the total real and reactive power losses while enhancing the voltage profile of the distribution network with less computation time by proposing two new artificial intelligence algorithms, i.e. grouping particle swarm optimization algorithm and grouping genetic algorithm. …”
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E2IDS: an enhanced intelligent intrusion detection system based on decision tree algorithm
Published 2022“…This work presents an enhanced intelligent intrusion detection model (E2IDS) to detect state of the art known cyberattacks. …”
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