Search Results - (( intelligence task scheduling algorithm ) OR ( intelligence based testing algorithm ))
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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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Thesis -
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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. …”
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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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Thesis -
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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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Managing risk in production scheduling under uncertain disruption
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Article -
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Energy Management Strategies for Optimal Hybrid Microgrid Configuration in the Smart Village Context
Published 2018“…A part of the developed algorithm is used to deal with the optimal scheduling control while the other actuates the dynamic demand response based PV power forecasting. …”
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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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Active intelligent control of vibration of flexible plate structures
Published 2011“…However, the non-model based AVC algorithms are faster than their model-based AVC counterparts.…”
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A New Grid Resource Discovery Framework
“…Resource discovery (RD) is an important key issue in grid systems since resource reservation and task scheduling are based on it. This paper proposes a novel semantic-based scalable decentralized grid RD framework. …”
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Conference or Workshop Item -
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Particle swarm optimization technique for optimal economic load dispatch / Muhammad Hilmi Nordin
Published 2014“…In the operation and planning of a power system, Economic Load Dispatch is a crucial task to be performed which decided the generation schedule of generating units with the objective of minimizing the total fuel cost while maintaining the operational constraints. …”
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Thesis -
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A New Grid Resource Discovery Framework
Published 2011“…Resource discovery (RD) is an important key issue in grid systems since resource reservation and task scheduling are based on it. This paper proposes a novel semantic-based scalable decentralized grid RD framework. …”
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Citation Index Journal -
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A New Grid Resource Discovery Framework
Published 2009“…Resource discovery (RD) is an important key issue in grid systems since resource reservation and task scheduling are based on it. This paper proposes a novel semantic-based scalable decentralized grid RD framework. …”
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Citation Index Journal -
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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 is to test the performance of the four artificial intelligence algorithms by taking into consideration the installation of 5 distributed generators units in the bus test system. …”
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Thesis -
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A Computational Intelligent Algorithm For Solving Unit Commitment Problem
Published 2023text::Final Year Project
