Multi-objective meta-heuristic optimization in intelligent control: A survey on the controller tuning problem

A Rodríguez-Molina, E Mezura-Montes… - Applied Soft …, 2020 - Elsevier
Multi-objective optimization has been adopted in many engineering problems where a set of
requirements must be met to generate successful applications. Among them, there are the …

Optimal reactive power dispatch problem using a two-archive multi-objective grey wolf optimizer

K Nuaekaew, P Artrit, N Pholdee, S Bureerat - Expert Systems with …, 2017 - Elsevier
In this paper, a novel two-archive Multi-Objective Grey Wolf Optimizer (2ArchMGWO) is
proposed for solving Multi-Objective Optimal Reactive Power Dispatch (MORPD) problems …

Efficient truss optimization using the contrast-based fruit fly optimization algorithm

S Kanarachos, J Griffin, ME Fitzpatrick - Computers & Structures, 2017 - Elsevier
A recent biological study shows that the extremely good efficiency of fruit flies in finding food,
despite their small brain, emerges by two distinct stimuli: smell and visual contrast.“contrast …

Adaptive fuzzy PI controller for permanent magnet synchronous motor drive based on predictive functional control

H Li, B Song, T Chen, Y Xie, X Zhou - Journal of the Franklin Institute, 2021 - Elsevier
The high-performance speed control is hard to achieve for the permanent magnet
synchronous motor (PMSM) drive system under uncertain disturbances, input saturation …

Controller tuning with evolutionary multiobjective optimization

GR Meza, XB Ferragud, JS Saez, H Durá - Switzerland: Springer, 2017 - Springer
In this book we summarise the efforts and experiences gained by working with multiobjective
optimization techniques in the control engineering field. Our studies began with an incursion …

Off-line PID control tuning for a planar parallel robot using DE variants

MG Villarreal-Cervantes, J Alvarez-Gallegos - Expert Systems with …, 2016 - Elsevier
Optimization methods have shown to be a very important approach for control engineers.
They emulate the decision-making ability of a human expert to tune the control gains for a …

Multi-objective on-line optimization approach for the DC motor controller tuning using differential evolution

MG Villarreal-Cervantes, A Rodríguez-Molina… - IEEE …, 2017 - ieeexplore.ieee.org
The dc motor is one of the most fundamental electromechanical devices of mechatronic
systems, which plays an important role in maintaining the accuracy in the execution of tasks …

Multi-objective ensemble model for short-term price forecasting in corn price time series

MHDM Ribeiro, VHA Ribeiro… - … Joint Conference on …, 2019 - ieeexplore.ieee.org
Short-term forecasting plays an important role in the economic area. Several studies have
been carried, where models with good forecast capacity, focusing on accuracy or stability …

ANN-based STATCOM tuning for performance enhancement of combined wind farms

A Rashad, S Kamel, F Jurado… - Electric Power …, 2019 - Taylor & Francis
Although the wind farms based on squirrel cage induction generators (SCIG) is cheaper
than the wind farms based on doubly fed induction generators (DFIG), it is always in …

Evolutionary design of marginally robust multivariable PID controller

A Javadian, N Nariman-Zadeh, A Jamali - Engineering Applications of …, 2023 - Elsevier
Two Margin-based design methods for tuning of decentralized PI controllers for multivariable
systems are presented. The first method is predefined marginally robust controller (PMR) …