A Machine Learning Algorithm That Experiences the Evolutionary Algorithm’s Predictions—An Application to Optimal Control

A Machine Learning Algorithm That Experiences the Evolutionary Algorithm’s Predictions—An Application to Optimal Control

Using metaheuristics such as the Evolutionary Algorithm (EA) within control structures is a realistic approach for certain optimal control problems. They often predict the optimal control values over a prediction horizon using a process model (PM). The computational effort sometimes causes the execu...

書誌詳細
主要な著者:	Viorel Mînzu, Iulian Arama
フォーマット:	論文
言語:	English
出版事項:	MDPI AG 2024-01-01
シリーズ:	Mathematics
主題:	evolutionary algorithm machine learning optimal control simulation
オンライン･アクセス:	https://www.mdpi.com/2227-7390/12/2/187

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