Artificial hummingbird algorithm: A new bio-inspired optimizer with its engineering applications

W Zhao, L Wang, S Mirjalili - Computer Methods in Applied Mechanics and …, 2022 - Elsevier
A new bio-inspired optimization algorithm called artificial hummingbird algorithm (AHA) is
proposed in this work to solve optimization problems. The AHA algorithm simulates the …

Mantis Search Algorithm: A novel bio-inspired algorithm for global optimization and engineering design problems

M Abdel-Basset, R Mohamed, M Zidan… - Computer Methods in …, 2023 - Elsevier
This study presents a new nature-inspired optimization algorithm, namely the Mantis Search
Algorithm (MSA), inspired by the unique hunting behavior and sexual cannibalism of praying …

[HTML][HTML] Design of innovative self-expandable femoral stents using inverse homogenization topology optimization

D Carbonaro, F Mezzadri, N Ferro, G De Nisco… - Computer Methods in …, 2023 - Elsevier
In this study, we propose a novel computational framework for designing innovative self-
expandable femoral stents. First, a two-dimensional stent unit cell is designed by inverse …

Design of cellular materials for multiscale topology optimization: application to patient-specific orthopedic devices

N Ferro, S Perotto, D Bianchi, R Ferrante… - Structural and …, 2022 - Springer
A flexible problem-specific multiscale topology optimization is introduced to associate
different areas of the design domain with diverse microstructures extracted from a dictionary …

Design-informed generative modelling of skeletal structures using structural optimization

LS Sarma, C Mallikarachchi, S Herath - Computers & Structures, 2024 - Elsevier
Although various structural optimization techniques have a sound mathematical basis, the
structural robustness and practical constructability of optimal designs pose a great challenge …

A new fluid-based strategy for the connection of non-matching lattice materials

N Ferro, S Perotto, M Gavazzoni - Structural and Multidisciplinary …, 2022 - Springer
We present a new algorithm for the design of the connection region between different lattice
materials. We solve a Stokes-type topology optimization problem on a narrow morphing …

Allying topology and shape optimization through machine learning algorithms

D Muñoz, E Nadal, J Albelda, F Chinesta… - Finite Elements in …, 2022 - Elsevier
Structural optimization is part of the mechanical engineering field and, in most cases, tries to
minimize the overall weight of a given design domain, subjected to functionality constraints …

Multi-physics inverse homogenization for the design of innovative cellular materials: Application to thermo-elastic problems

M Gavazzoni, N Ferro, S Perotto, S Foletti - Mathematical and …, 2022 - mdpi.com
We present a new algorithm to design lightweight cellular materials with required properties
in a multi-physics context. In particular, we focus on a thermo-elastic setting by promoting the …

An anisotropic recovery-based error estimator for adaptive discontinuous Galerkin methods

N Ferro, S Perotto, A Cangiani - Journal of Scientific Computing, 2022 - Springer
We present a new recovery-based anisotropic error estimator for discontinuous Galerkin
finite element approximations of advection-diffusion problems. We propose a metric-based …

[HTML][HTML] Level set-fitted polytopal meshes with application to structural topology optimization

N Ferro, S Micheletti, N Parolini, S Perotto… - … & Mathematics with …, 2024 - Elsevier
We propose a method to modify a polygonal mesh in order to fit the zero-isoline of a level set
function by extending a standard body-fitted strategy to a tessellation with arbitrarily-shaped …