Search Results - (( intelligence based costing algorithm ) OR ( intelligence based scheduling algorithm ))
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Schedule of tour guide using genetic algorithm / Nur Aishah Rosli
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Optimal operation and control of hybrid power systems with stochastic renewables and FACTS devices: An intelligent multi-objective optimization approach
Published 2025“…The application of the recently developed flow direction algorithm, including its multi-objective variant with an �-based constraint-handling mechanism to OPF problem is the primary contributions of this work. …”
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Optimization of operating cost and energy consumption in a smart grid
Published 2024“…The obtained results underscore the effectiveness and productivity of our devised NSGA-II-based approach. Notably, the proposed algorithm demonstrated a substantial reduction in electricity costs by 19.0%, peak-to-average ratio (PAR) by 30.7%, and carbon emissions by 21.7% in scenario-3, as evidenced by a comparative analysis with the unscheduled case.…”
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Modelling of home energy management system using heuristic optimization for sustainable energy utilization
Published 2023“…The developed FLC-based PSO provides an optimal controller output for predicting optimal schedules of the HEMS. …”
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Self-configured link adaptation using channel quality indicator-modulation and coding scheme mapping with partial feedback for green long-term evolution cellular systems
Published 2015“…To achieve this objective, an iterative approach based on swarm intelligence is used to find the optimal CQI threshold at which the competing criteria are optimized. …”
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Development of optimized maintenance scheduling model for coal-fired power plant boiler
Published 2023“…The models will be generating and producing the optimal maintenance schedule with minimal maintenance costs. The optimal schedules obtained were compared with the actual based on parameters and judgement from power plant planning team. …”
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Home Energy Management Systems: A Review of the Concept, Architecture, and Scheduling Strategies
Published 2024“…In addition, the common objectives and constraints related to scheduling optimization are classified, and several optimization methods in the literature, including various intelligent algorithms, have been introduced, compared, and critically analyzed. …”
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An Effective Power Dispatch Strategy for Clustered Micro-grids while Implementing Optimal Energy Management and Power Sharing Control using Power Line Communication
Published 2019“…Frequency shift keying (FSK) technique has been adopted for transmitting the binary signal over the power line communication (PLC). A part of the algorithm is utilized to deal with the optimal scheduling control while the other actuates the dynamic demand response based Photovoltaic (PV) power forecasting. …”
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Proceeding -
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Dynamic approaches for spectrum control in cognitive radio networks
Published 2015“…To optimize Fuzzy Inference scheduler, Genetic Algorithm is used. Compared to fixed sensing order,this proposed technique managed to achieve an outstanding performance in term of channel utilization. …”
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An adaptive threshold based CQI compression scheme for LTE cellular networks
Published 2015“…Then, an adaptive signal-to-interference-plus-noise ratio (SINR) threshold based CQI scheme is proposed by using multi-objective swarm intelligence to find the optimal feedback threshold. …”
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Conference or Workshop Item -
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Gas turbines health prognostics: A short review
Published 2016“…The reviewed methods include regression methods, physics based models, computational intelligence (artificial neural network and fuzzy systems, evolutionary-based method), and hybrid approaches. …”
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Gas turbines health prognostics: A short review
Published 2016“…The reviewed methods include regression methods, physics based models, computational intelligence (artificial neural network and fuzzy systems, evolutionary-based method), and hybrid approaches. …”
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An Effective Power Dispatch Strategy for Clustered Microgrids While Implementing Optimal Energy Management and Power Sharing Control Using Power Line Communication
Published 2020“…A part of the algorithm is utilized to deal withthe optimal scheduling control, whereas the other actuates thedynamic-demand-response-based photovoltaic power forecasting.The performance of the proposed approach with the formulatedbackup injection index has been validated using data collectedfrom the practical network of “Bario, Sarawak.” …”
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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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Thesis
