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...
Main Authors: | Viorel Mînzu, Iulian Arama |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-01-01
|
Series: | Mathematics |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-7390/12/2/187 |
Similar Items
-
Optimal Control Systems Using Evolutionary Algorithm-Control Input Range Estimation
by: Viorel Mînzu, et al.
Published: (2022-01-01) -
Implementation Aspects Regarding Closed-Loop Control Systems Using Evolutionary Algorithms
by: Viorel Minzu, et al.
Published: (2021-07-01) -
Execution Time Decrease for Controllers Based on Adaptive Particle Swarm Optimization
by: Viorel Mînzu, et al.
Published: (2022-12-01) -
Optimization of Fracturing Parameters with Machine-Learning and Evolutionary Algorithm Methods
by: Zhenzhen Dong, et al.
Published: (2022-08-01) -
A Simple But Effective Evolutionary Algorithm for Complicated Optimization Problems
by: Xu, Y.G., et al.
Published: (2003)