On design optimization for structural crashworthiness and its state of the art
Optimization for structural crashworthiness and energy absorption has become an important
topic of research attributable to its proven benefits to public safety and social economy. This …
topic of research attributable to its proven benefits to public safety and social economy. This …
Adaptive metamodeling simulation optimization: Insights, challenges, and perspectives
Abstract A pillar of Industry 4.0, Simulation Optimization is a powerful tool used across
several fields, enabling system evaluation under varying conditions, facilitating performance …
several fields, enabling system evaluation under varying conditions, facilitating performance …
A novel evolutionary sampling assisted optimization method for high-dimensional expensive problems
X Wang, GG Wang, B Song, P Wang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Surrogate-assisted evolutionary algorithms (SAEAs) are promising methods for solving high-
dimensional expensive problems. The basic idea of SAEAs is the integration of nature …
dimensional expensive problems. The basic idea of SAEAs is the integration of nature …
Integrated design and control optimization of fuel cell hybrid mining truck with minimized lifecycle cost
Abstract Proton Exchange Membrane Fuel Cell (PEMFC) system, as a highly efficient, zero
pump-to-wheel emission and quick refuelling energy conversion device, is particularly …
pump-to-wheel emission and quick refuelling energy conversion device, is particularly …
Surrogate-assisted grey wolf optimization for high-dimensional, computationally expensive black-box problems
In this paper, a Surrogate-Assisted Grey Wolf Optimization (SAGWO) algorithm for high-
dimensional and computationally expensive problems is presented, where Radial Basis …
dimensional and computationally expensive problems is presented, where Radial Basis …
A fast surrogate-assisted particle swarm optimization algorithm for computationally expensive problems
Although many surrogate-assisted evolutionary algorithms (SAEAs) have been proposed to
solve computationally expensive problems, they usually need to consume plenty of …
solve computationally expensive problems, they usually need to consume plenty of …
Ensemble of surrogates assisted particle swarm optimization of medium scale expensive problems
Surrogate-assisted evolutionary algorithms have been commonly used in extremely
expensive optimization problems. However, many existing algorithms are only effectively …
expensive optimization problems. However, many existing algorithms are only effectively …
An efficient lightweight design strategy for body-in-white based on implicit parameterization technique
L Duan, N **ao, Z Hu, G Li, A Cheng - Structural and Multidisciplinary …, 2017 - Springer
In the early design phase of vehicles, performing lightweight design of body-in-white (BIW)
using shape, size and topology optimization is a challenge. The large amount of design …
using shape, size and topology optimization is a challenge. The large amount of design …
SCGOSR: Surrogate-based constrained global optimization using space reduction
Global optimization problems with computationally expensive objective and constraints are
challenging. In this work, we present a new kriging-based constrained global optimization …
challenging. In this work, we present a new kriging-based constrained global optimization …
Multi-start space reduction (MSSR) surrogate-based global optimization method
In this work, a new Multi-start Space Reduction (MSSR) and surrogate-based search
algorithm is introduced for solving global optimization problems with computationally …
algorithm is introduced for solving global optimization problems with computationally …