Review of robust aerodynamic design optimization for air vehicles

Z Huan, G Zhenghong, X Fang, Z Yidian - Archives of Computational …, 2019 - Springer
The ever-increasing demands for risk-free, resource-efficient and environment-friendly air
vehicles motivate the development of advanced design methodology. As a particularly …

Briquetting process optimization of poultry litter and urban wood waste

HMP Marreiro, RS Peruchi, RMBP Lopes, PR Junior - Renewable Energy, 2024 - Elsevier
Urban wood waste and poultry litter are solid wastes with potential for energy generation. A
well-modeled briquetting process can be used to find an ideal relationship between the …

Addressing the so-called validity–diversity trade-off: Exploring the practicalities and legal defensibility of Pareto-optimization for reducing adverse impact within …

DE Rupp, QC Song, N Strah - Industrial and Organizational …, 2020 - cambridge.org
It is necessary for personnel selection systems to be effective, fair, and legally appropriate.
Sometimes these goals are complementary, whereas other times they conflict (leading to the …

Multivariate normal boundary intersection based on rotated factor scores: a multiobjective optimization method for methyl orange treatment

FL Naves, TI de Paula, PP Balestrassi… - Journal of Cleaner …, 2017 - Elsevier
This paper presents the multiobjective optimization of methyl orange treatment with ozone
using Normal Boundary Intersection and response surface models of rotated principal …

Integrating multivariate statistical analysis into six sigma DMAIC projects: A case study on AISI 52100 hardened steel turning

RS Peruchi, PR Junior, TG Brito, AP Paiva… - IEEE …, 2020 - ieeexplore.ieee.org
DMAIC (define, measure, analyze, improve and control) is one of the most utilized methods
for guiding practitioners in the decision-making process of quality improvement projects …

Diversity based selection for many-objective evolutionary optimisation problems with constraints

PB Myszkowski, M Laszczyk - Information Sciences, 2021 - Elsevier
The paper introduces a novel many-objective evolutionary method, with a diversity-based
selection operator and aims to fill the “gaps” in the Pareto Front approximation and to …

Multi-objective optimization algorithm for analysis of hardened steel turning manufacturing process

LF Amorim, AP de Paiva, PP Balestrassi… - Applied Mathematical …, 2022 - Elsevier
This paper presents a multi-objective optimization algorithm that combines Normal
Boundary Intersection method with response surface models of equimax rotated factor …

Quality design based on kernel trick and Bayesian semiparametric model for multi-response processes with complex correlations

S Yang, J Wang, X Cheng, J Wu… - International Journal of …, 2024 - Taylor & Francis
Processes or products are typically complex systems with numerous interrelated procedures
and interdependent components. This results in complex relationships between responses …

Optimisation of product form design using fuzzy integral-based Taguchi method

Y Li, L Zhu - Journal of Engineering Design, 2017 - Taylor & Francis
The trend of industrial product design is changing towards consumer-centered. Affective
responses that concern consumers' affective needs have been recognised as invaluable in …

Robust optimisation of surface roughness of AISI H13 hardened steel in the finishing milling using ball nose end mills

ÉM Arruda, AP de Paiva, LC Brandão, JR Ferreira - Precision Engineering, 2019 - Elsevier
The manufacturing of moulds and dies requires smooth surfaces and high-quality. This way,
the surface roughness is an essential parameter in finishing milling to improve the quality of …