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...
मुख्य लेखकों: | Viorel Mînzu, Iulian Arama |
---|---|
स्वरूप: | लेख |
भाषा: | English |
प्रकाशित: |
MDPI AG
2024-01-01
|
श्रृंखला: | Mathematics |
विषय: | |
ऑनलाइन पहुंच: | https://www.mdpi.com/2227-7390/12/2/187 |
समान संसाधन
-
Optimal Control Systems Using Evolutionary Algorithm-Control Input Range Estimation
द्वारा: Viorel Mînzu, और अन्य
प्रकाशित: (2022-01-01) -
Implementation Aspects Regarding Closed-Loop Control Systems Using Evolutionary Algorithms
द्वारा: Viorel Minzu, और अन्य
प्रकाशित: (2021-07-01) -
Execution Time Decrease for Controllers Based on Adaptive Particle Swarm Optimization
द्वारा: Viorel Mînzu, और अन्य
प्रकाशित: (2022-12-01) -
Optimization of Fracturing Parameters with Machine-Learning and Evolutionary Algorithm Methods
द्वारा: Zhenzhen Dong, और अन्य
प्रकाशित: (2022-08-01) -
A Simple But Effective Evolutionary Algorithm for Complicated Optimization Problems
द्वारा: Xu, Y.G., और अन्य
प्रकाशित: (2003)