Accelerating large-scale topology optimization: state-of-the-art and challenges
S Mukherjee, D Lu, B Raghavan, P Breitkopf… - … Methods in Engineering, 2021 - Springer
Large-scale structural topology optimization has always suffered from prohibitively high
computational costs that have till date hindered its widespread use in industrial design. The …
computational costs that have till date hindered its widespread use in industrial design. The …
Lightweight glass fiber-reinforced polymer composite for automotive bumper applications: A review
The enhancement of fuel economy and the emission of greenhouse gases are the key
growing challenges around the globe that drive automobile manufacturers to produce …
growing challenges around the globe that drive automobile manufacturers to produce …
A hybrid intelligent genetic algorithm for truss optimization based on deep neutral network
J Liu, Y **a - Swarm and Evolutionary Computation, 2022 - Elsevier
The truss optimization problem has been extensively investigated, and the optimized trusses
have been widely used in various fields. Truss optimization is a challenging optimization …
have been widely used in various fields. Truss optimization is a challenging optimization …
Parameter free Jaya algorithm for truss sizing-layout optimization under natural frequency constraints
In this study, the parameter free Jaya algorithm (PFJA) is developed for sizing and layout
optimization of truss structures subject to natural frequency constraints. The distinctive …
optimization of truss structures subject to natural frequency constraints. The distinctive …
Sizing, layout and topology design optimization of truss structures using the Jaya algorithm
A very recently developed metaheuristic method called Jaya algorithm (JA) is implemented
in this study for sizing and layout optimization of truss structures. The main feature of JA is …
in this study for sizing and layout optimization of truss structures. The main feature of JA is …
Structural optimization using multi-objective modified adaptive symbiotic organisms search
Multiple objective structural optimization is a challenging problem in which suitable
optimization methods are needed to find optimal solutions. Therefore, to answer such …
optimization methods are needed to find optimal solutions. Therefore, to answer such …
On multigrid-CG for efficient topology optimization
This article presents a computational approach that facilitates the efficient solution of 3-D
structural topology optimization problems on a standard PC. Computing time associated with …
structural topology optimization problems on a standard PC. Computing time associated with …
Multi-class teaching–learning-based optimization for truss design with frequency constraints
The primary objective of this study is to introduce a multi-class teaching–learning-based
optimization (MC-TLBO) technique for structural optimization with frequency constraints …
optimization (MC-TLBO) technique for structural optimization with frequency constraints …
Structure-material integrated multi-objective lightweight design of the front end structure of automobile body
F **ong, D Wang, Z Ma, S Chen, T Lv, F Lu - Structural and …, 2018 - Springer
This paper proposes a hybrid method combining the Contribution Analysis Method, the
Radial Basis Function Neutral Network (RBFNN)-Response Surface Method (RSM) hybrid …
Radial Basis Function Neutral Network (RBFNN)-Response Surface Method (RSM) hybrid …
Truss optimization on shape and sizing with frequency constraints based on orthogonal multi-gravitational search algorithm
M Khatibinia, SS Naseralavi - Journal of Sound and Vibration, 2014 - Elsevier
Structural optimization on shape and sizing with frequency constraints is well-known as a
highly nonlinear dynamic optimization problem with several local optimum solutions. Hence …
highly nonlinear dynamic optimization problem with several local optimum solutions. Hence …