Search alternatives:
integrative optimization » objective optimization (Expand Search), migration optimization (Expand Search)
while optimization » whale optimization (Expand Search), chimp optimization (Expand Search), spider optimization (Expand Search)
lines based » cities based (Expand Search)
binary a » binary rat (Expand Search)
integrative optimization » objective optimization (Expand Search), migration optimization (Expand Search)
while optimization » whale optimization (Expand Search), chimp optimization (Expand Search), spider optimization (Expand Search)
lines based » cities based (Expand Search)
binary a » binary rat (Expand Search)
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Multiclass feature selection with metaheuristic optimization algorithms: a review
Published 2022“…Nevertheless, metaheuristic algorithms attract substantial attention to solving different problems in optimization. …”
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A new genetic algorithm approach for unit commitment
Published 1997“…The former is solved using the proposed genetic algorithm while the latter problem is solved via a quadratic programming routine. …”
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Implementation of trust region methods in optimization. (c1998)
Published 1998Get full text
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An Enhanced Approach for Solar PV Hosting Capacity Analysis in Distribution Networks
Published 2022“…These algorithms calculate the optimal HC based on six scenarios of annual load and DER generation profiles. …”
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DRL-Based IRS-Assisted Secure Hybrid Visible Light and mmWave Communications
Published 2024“…To address this complexity optimally, we propose a deep reinforcement learning (DRL) approach based on the deep deterministic policy gradient (DDPG) technique. …”
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Day-Ahead Load Demand Forecasting in Urban Community Cluster Microgrids Using Machine Learning Methods
Published 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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Impacts of On-Grid Solar PV on Distribution Networks and Potential Solutions: A Case Study in the Region of Zahle
Published 2025“…The siting and sizing methodology is conducted by considering five different optimization algorithms, namely the single-objective genetic algorithm (SOGA), the combined SOGA and loss sensitivity factor algorithm (SOGA-LSF), the multi-objective genetic algorithm (MOGA), the combined MOGA-LSF and the CAPADD algorithm of OpenDSS. …”
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masterThesis -
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Multi-class subarachnoid hemorrhage severity prediction: addressing challenges in predicting rare outcomes
Published 2025“…Feature selection was done using a Random Forest algorithm to identify the top 20 features for the SAH severity prediction. …”