model predictive control (MPC) becomes one of the major control strategies and has many successful applications. This paper presents an automatic tuning method of MPC using particle swarm optimization ...

Abstract: In this paper, a two-layer predictive optimization ... genetic algorithm (GA). The optimal setpoints are obtained online for different production scenarios and are then transmitted to the ...

The turbine speed control is modelled in Simulink TM with PID controller and the PSO algorithm is implemented in MATLAB to optimize the PID function. The PSO optimization technique is also compared ...

Our project aims to benchmark the performance of two algorithms: PSO and Genetic Algorithm. For this purpose we've chosen the following functions in a 30-N dimension space: PSO is a computational ...

This GitHub repository houses a collection of implementations of popular metaheuristic optimization algorithms in Python, including Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Atom ...

We present a new optimization algorithm that designs very large toolboxes of highly non-repetitive genetic parts, enabling the construction of large genetic systems without triggering genetic ...