Controller tuning using evolutionary multi-objective optimisation: current trends and applications
Control engineering problems are generally multi-objective problems; meaning that there
are several specifications and requirements that must be fulfilled. A traditional approach for …
are several specifications and requirements that must be fulfilled. A traditional approach for …
[HTML][HTML] Algoritmos Evolutivos y su empleo en el ajuste de controladores del tipo PID: Estado Actual y Perspectivas
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 …
para el control de procesos. Actualmente constituyen la primera capa de control de la gran …
An adaptive directional boundary sampling method for efficient reliability-based design optimization
Due to the nested optimization loop structure and time-demanding computation of structural
response, the computational accuracy and cost of reliability-based design optimization …
response, the computational accuracy and cost of reliability-based design optimization …
Physical programming for preference driven evolutionary multi-objective optimization
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 …
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
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 …
modularity, ie using biological parts and interconnecting them to build new and more …
[HTML][HTML] Robust integrated production-maintenance scheduling for an evaporation network
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 …
network by better tasks management and coordination. The network works in continuous …
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 …
creativity and has been regarded as one important approach to acquiring innovative …
Evolutionary multi-objective optimisation with preferences for multivariable PI controller tuning
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 …
engineers. They enable the designer having a close embedment of the tuning process for a …
Managing multi-goal design problems using adaptive leveling-weighting-clustering algorithm
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 …
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 …
parameters of a second-order sliding-mode control (2-SMC) scheme commanding the grid …