A survey of multi-objective optimization methods and their applications for nuclear scientists and engineers

RH Stewart, TS Palmer, B DuPont - Progress in Nuclear Energy, 2021 - Elsevier
Problems in nuclear engineering–such as reactor core design–involve a multitude of design
variables including fuel or assembly configurations; all of which require careful …

How should robustness be defined for water systems planning under change?

JD Herman, PM Reed, HB Zeff… - Journal of Water …, 2015 - ascelibrary.org
Water systems planners have long recognized the need for robust solutions capable of
withstanding deviations from the conditions for which they were designed. Robustness …

Ensemble learning by means of a multi-objective optimization design approach for dealing with imbalanced data sets

VHA Ribeiro, G Reynoso-Meza - Expert Systems with Applications, 2020 - Elsevier
Ensemble learning methods have already shown to be powerful techniques for creating
classifiers. However, when dealing with real-world engineering problems, class imbalance …

Multi-objective ensembles of echo state networks and extreme learning machines for streamflow series forecasting

VHA Ribeiro, G Reynoso-Meza, HV Siqueira - Engineering Applications of …, 2020 - Elsevier
Streamflow series forecasting composes a fundamental step in planning electric energy
production for hydroelectric plants. In Brazil, such plants produce almost 70% of the total …

Tuning rules for robust FOPID controllers based on multi-objective optimization with FOPDT models

HS Sánchez, F Padula, A Visioli, R Vilanova - ISA transactions, 2017 - Elsevier
In this paper a set of optimally balanced tuning rules for fractional-order proportional-integral-
derivative controllers is proposed. The control problem of minimizing at once the integrated …

Application of multi-objective controller to optimal tuning of PID gains for a hydraulic turbine regulating system using adaptive grid particle swam optimization

Z Chen, Y Yuan, X Yuan, Y Huang, X Li, W Li - ISA transactions, 2015 - Elsevier
A hydraulic turbine regulating system (HTRS) is one of the most important components of
hydropower plant, which plays a key role in maintaining safety, stability and economical …

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 …

A pixel counting based method for designing shading devices in buildings considering energy efficiency, daylight use and fading protection

AP de Almeida Rocha, G Reynoso-Meza… - Applied energy, 2020 - Elsevier
Multi-criteria design techniques applied to the analysis of shading devices of buildings have
arisen as useful tools for architects. Even though several techniques have been applied to …

Feature selection and regularization of interpretable soft sensors using evolutionary multi-objective optimization design procedures

VHA Ribeiro, G Reynoso-Meza - Chemometrics and Intelligent Laboratory …, 2021 - Elsevier
Soft sensors are mathematical models that estimate hard-to-measure variables given easy-
to-measure ones. This field of study has given the industry a valuable tool to enable a better …

[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 …