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21
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Optimal VAR Dispatch Using a Multiobjective Evolutionary Algorithm
منشور في 2005احصل على النص الكامل
article -
24
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25
A genetic algorithm for testable data path synthesis
منشور في 2017"…The approach is formulated as an allocation problem and solved using an efficient genetic algorithm that generates cost-effective testable designs. …"
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conferenceObject -
26
A neural networks algorithm for data path synthesis
منشور في 2003"…This paper presents a deterministic parallel algorithm to solve the data path allocation problem in high-level synthesis. …"
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article -
27
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28
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29
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31
Prediction of EV Charging Behavior Using Machine Learning
منشور في 2021"…Using data-driven tools and machine learning algorithms to learn the EV charging behavior can improve scheduling algorithms. …"
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article -
32
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33
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34
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35
Comparative analysis of metaheuristic load balancing algorithms for efficient load balancing in cloud computing
منشور في 2023"…This paper provides a comparative analysis of various metaheuristic load balancing algorithms for cloud computing based on performance factors i.e., Makespan time, degree of imbalance, response time, data center processing time, flow time, and resource utilization. …"
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36
Forecasting the nearly unforecastable: why aren’t airline bookings adhering to the prediction algorithm?
منشور في 2021"…The resulting model achieves an 89% predictive accuracy using historical data. A unique aspect of the model is the incorporation of self-competence, where the model defers when it cannot reasonably make a recommendation. …"
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37
Genetic Algorithm Analysis using the Graph Coloring Method for Solving the University Timetable Problem
منشور في 2018"…Genetic algorithms were successfully useful to solve many optimization problems including the university Timetable Problem. …"
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article -
38
Genetic and heuristic algorithms for regrouping service sites. (c2000)
منشور في 2000احصل على النص الكامل
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masterThesis -
39
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An Uncertainty Based Genetic Algorithm Approach for Project Resource Scheduling
منشور في 2016"…The work presented in thesis add to the existing literature in a proposing the use of a genetic algorithm uncertain approach to resource- scheduling in projects. …"
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