Execution Time Decrease for Controllers Based on Adaptive Particle Swarm Optimization

Article Computer Science, Information Systems

Predictions Based on Evolutionary Algorithms Using Predefined Control Profiles

Viorel Minzu et al.

Summary: This paper proposes a practical method using evolutionary algorithms to reduce the computational complexity of controllers. By constraining the control variables within a predefined control profile's neighborhood, the controller can consider a smaller domain of control variables without tracking the predefined control profile. Simulation results show that the computational complexity decreases significantly.

ELECTRONICS (2022)

Add to Collection

Article Chemistry, Analytical

Control of Microalgae Growth in Artificially Lighted Photobioreactors Using Metaheuristic-Based Predictions

Viorel Minzu et al.

Summary: This study focuses on optimal control of microalgae growth in a batch-mode photobioreactor, using a metaheuristic algorithm and a soft sensor to reduce computational complexity of the controller. The results show a significant decrease in computational complexity, providing a realistic solution for optimal control problems with high computational requirements.

SENSORS (2021)

Add to Collection

Article Chemistry, Multidisciplinary

Optimal Control of an Ultraviolet Water Disinfection System

Viorel Minzu et al.

Summary: This study focuses on optimal control of ultraviolet water disinfection systems, presenting a bi-criteria optimal problem statement, an optimization algorithm, and comprehensive analysis of results. The findings are applicable to different systems and offer practical value in the field of water treatment.

APPLIED SCIENCES-BASEL (2021)

Add to Collection

Proceedings Paper Computer Science, Interdisciplinary Applications

Analyzing Emergent Complexity in Particle Swarm Optimization using a Rolling Technique for Updating Hyperparameter Coefficients

Amit Sethi et al.

Summary: This paper rigorously analyzes the hyperparameters of the Particle Swarm Optimization (PSO) algorithm, aiming to enhance application efficiency by understanding the importance of cognitive versus social parameters. The paper proposes and applies a rolling coefficient updating technique to create a dynamic Emergent Complexity environment, resulting in improved algorithm efficiency.

10TH INTERNATIONAL YOUNG SCIENTISTS CONFERENCE IN COMPUTATIONAL SCIENCE (YSC2021) (2021)

Add to Collection

Article Engineering, Multidisciplinary

Implementation Aspects Regarding Closed-Loop Control Systems Using Evolutionary Algorithms

Viorel Minzu et al.

Summary: This paper explores the use of metaheuristic algorithms for solving optimal control problems and the implementation of closed-loop control through the Receding Horizon Control structure. Through a case study, the effectiveness of the controllers, evolutionary algorithms, and closed-loop structure is validated. The association between RHC and EA provides a realistic solution for optimal process control.

INVENTIONS (2021)

Add to Collection

Article Automation & Control Systems