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 …

A multi-population cooperative coevolutionary algorithm for multi-objective capacitated arc routing problem

R Shang, Y Wang, J Wang, L Jiao, S Wang, L Qi - Information Sciences, 2014 - Elsevier
Abstract Capacitated Arc Routing Problem (CARP) has drawn much attention during the last
few years. In addition to the goal of minimizing the total cost of all the routes, many real …

Many-objective optimization based intrusion detection for in-vehicle network security

J Zhang, B Gong, M Waqas, S Tu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In-vehicle network security plays a vital role in ensuring the secure information transfer
between vehicle and Internet. The existing research is still facing great difficulties in …

An adaptive DE algorithm based fuzzy logic anti-swing controller for overhead crane systems

Z Sun, Y Ling, H Qu, F Xiang, Z Sun, F Wu - International Journal of Fuzzy …, 2020 - Springer
In this paper, aiming at the under-actuated problem of the overhead crane systems, a fuzzy
logic anti-swing controller is first designed according to operator experience. Moreover, for …

A systematic grey-box modeling methodology via data reconciliation and SOS constrained regression

JL Pitarch, A Sala, C de Prada - Processes, 2019 - mdpi.com
Developing the so-called grey box or hybrid models of limited complexity for process
systems is the cornerstone in advanced control and real-time optimization routines. These …

Comparison of design concepts in multi-criteria decision-making using level diagrams

G Reynoso-Meza, X Blasco, J Sanchis, JM Herrero - Information Sciences, 2013 - Elsevier
In this work, we address the evaluation of design concepts and the analysis of multiple
Pareto fronts in multi-criteria decision-making using level diagrams. Such analysis is …

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 …

Multiobjective evolutionary algorithms for multivariable PI controller design

G Reynoso-Meza, J Sanchis, X Blasco… - Expert Systems with …, 2012 - Elsevier
A multiobjective optimisation engineering design (MOED) methodology for PI controller
tuning in multivariable processes is presented. The MOED procedure is a natural approach …

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 …

Cost minimizations and performance enhancements of power systems using spherical prune differential evolution algorithm including modal analysis

SSM Ghoneim, MF Kotb, HM Hasanien, MM Alharthi… - Sustainability, 2021 - mdpi.com
A novel application of the spherical prune differential evolution algorithm (SpDEA) to solve
optimal power flow (OPF) problems in electric power systems is presented. The SpDEA has …