Controller tuning using evolutionary multi-objective optimisation: current trends and applications

G Reynoso-Meza, X Blasco, J Sanchis… - Control Engineering …, 2014 - Elsevier
Control engineering problems are generally multi-objective problems; meaning that there
are several specifications and requirements that must be fulfilled. A traditional approach for …

An adaptive directional boundary sampling method for efficient reliability-based design optimization

Z Meng, D Zhang, Z Liu, G Li - Journal of …, 2018 - asmedigitalcollection.asme.org
Due to the nested optimization loop structure and time-demanding computation of structural
response, the computational accuracy and cost of reliability-based design optimization …

Physical programming for preference driven evolutionary multi-objective optimization

G Reynoso-Meza, J Sanchis, X Blasco… - Applied Soft …, 2014 - Elsevier
Preference articulation in multi-objective optimization could be used to improve the
pertinency of solutions in an approximated Pareto front. That is, computing the most …

Multi-objective optimization framework to obtain model-based guidelines for tuning biological synthetic devices: an adaptive network case

Y Boada, G Reynoso-Meza, J Picó, A Vignoni - BMC systems biology, 2016 - Springer
Background Model based design plays a fundamental role in synthetic biology. Exploiting
modularity, ie using biological parts and interconnecting them to build new and more …

Product concept evaluation and selection using data mining and domain ontology in a crowdsourcing environment

D Chang, CH Chen - Advanced Engineering Informatics, 2015 - Elsevier
For product design and development, crowdsourcing shows huge potential for fostering
creativity and has been regarded as one important approach to acquiring innovative …

[HTML][HTML] Robust integrated production-maintenance scheduling for an evaporation network

CG Palacín, JL Pitarch, C Jasch, CA Méndez… - Computers & Chemical …, 2018 - Elsevier
This work aims to reduce the global resource consumption in an industrial evaporation
network by better tasks management and coordination. The network works in continuous …

Evolutionary multi-objective optimisation with preferences for multivariable PI controller tuning

G Reynoso-Meza, J Sanchis, X Blasco… - Expert Systems with …, 2016 - Elsevier
Multi-objective optimisation design procedures have shown to be a valuable tool for control
engineers. They enable the designer having a close embedment of the tuning process for a …

[HTML][HTML] Algoritmos Evolutivos y su empleo en el ajuste de controladores del tipo PID: Estado Actual y Perspectivas

G Reynoso-Meza, J Sanchis, X Blasco… - … de Automática e …, 2013 - Elsevier
Los controladores PID continúan siendo una solución fiable, robusta, práctica y sencilla
para el control de procesos. Actualmente constituyen la primera capa de control de la gran …

Managing multi-goal design problems using adaptive leveling-weighting-clustering algorithm

L Guo, J Milisavljevic-Syed, R Wang, Y Huang… - … in Engineering Design, 2023 - Springer
In this paper, we address the issue of solving problems with multiple components, multiple
objectives, and target values for each objective. There are limitations in managing these …

Multi-objective optimisation-based tuning of two second-order sliding-mode controller variants for DFIGs connected to non-ideal grid voltage

A Susperregui, JM Herrero, MI Martinez… - Energies, 2019 - mdpi.com
In this paper, a posteriori multi-objective optimisation (MOO) is applied to tune the
parameters of a second-order sliding-mode control (2-SMC) scheme commanding the grid …