بدائل البحث:
method optimization » motor optimization (توسيع البحث)
arm optimization » swarm optimization (توسيع البحث), _ optimization (توسيع البحث), dog optimization (توسيع البحث)
lines based » cities based (توسيع البحث)
method optimization » motor optimization (توسيع البحث)
arm optimization » swarm optimization (توسيع البحث), _ optimization (توسيع البحث), dog optimization (توسيع البحث)
lines based » cities based (توسيع البحث)
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1
Implementation of trust region methods in optimization. (c1998)
منشور في 1998احصل على النص الكامل
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masterThesis -
2
Intelligent Rapidly-Exploring Random Tree Star Algorithm
منشور في 2024احصل على النص الكامل
doctoralThesis -
3
Real-Time Selective Harmonic Mitigation Technique for Power Converters Based on the Exchange Market Algorithm
منشور في 2020"…The Exchange Market Algorithm (EMA), initially focused on optimizing financial transactions, is considered and executed to achieve the SHM targets. …"
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4
Day-Ahead Load Demand Forecasting in Urban Community Cluster Microgrids Using Machine Learning Methods
منشور في 2022"…From the results, it is found that the Levenberg–Marquardt optimization algorithm-based ANN model gives the best electrical load forecasting results.…"
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5
An Enhanced Approach for Solar PV Hosting Capacity Analysis in Distribution Networks
منشور في 2022"…These algorithms calculate the optimal HC based on six scenarios of annual load and DER generation profiles. …"
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6
Mobile Robot Navigation in Dynamic Environments Using an Improved RRT* Approach
منشور في 2018احصل على النص الكامل
doctoralThesis -
7
Design and development of an embedded controller for roboticmanipulator
منشور في 1998"…Since the manipulator speed is limited by the mechanical constraints of the robot arm, the system's throughout should be optimized for generation of the required control law based on the data received from the robot's position sensors. …"
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article -
8
Power system output feedback stabilizer design via geneticalgorithms
منشور في 1997"…A digital simulation of the power system is then used in conjunction with the genetic algorithm to determine the output feedback gains. In the second method, the problem of selecting the output feedback gains is converted to a simple optimization problem with an eigenvalue based objective function, which is solved by a genetic algorithm. …"
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احصل على النص الكامل
article