Application of an input-output pairings selection methodology to control multivariable systems based on multi-objective optimization-Reference-Cited by-同舟云学术

Application of an input-output pairings selection methodology to control multivariable systems based on multi-objective optimization

Published:2021-12 Issue: Volume: Page:
ISSN:
Container-title:2021 International Conference on Computational Science and Computational Intelligence (CSCI)
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Author:

Huilcapi Victor¹,Blasco Xavier²,Herrero Juan M.²,Pajares Alberto²,Reynoso-Meza Gilberto³

Affiliation:

1. Universidad Politécnica Salesiana,Facultad de Ingenierías,Guayaquil,Ecuador

2. Universitat Politècnica de València,Instituto Universitario de Automática e Informática Industrial,Valencia,Spain,46022

3. Pontifícia Universidade Católica do Paraná (PUCPR),Programa de Pós-Graduação em Engenharia de Produção e Sistemas (PPGEPS),Curitiba,Brazil,80215-901

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9798893/9798894/09799128.pdf?arnumber=9799128

Reference40 articles.

1. Indicatorbased evolutionary algorithm for solving constrained multi-objective optimization problems;yuan;IEEE Transactions on Evolutionary Computation,2021

2. A Survey of Multiobjective Evolutionary Algorithms Based on Decomposition: Variants, Challenges and Future Directions

3. Multi-objective ensemble model for short-term price forecasting in corn price time series;dal molin ribeiro;2019 International Joint Conference on Neural Networks (IJCNN),2019

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

5. Parasol: an open source, interactive parallel coordinates library for multi-objective decision making

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