Structural damage identification using piezoelectric impedance measurement with sparse inverse analysis

P Cao, S Qi, J Tang - Smart Materials and Structures, 2018 - iopscience.iop.org
The impedance/admittance measurements of a piezoelectric transducer bonded to or
embedded in a host structure can be used as damage indicator. When a credible model of …

Discrete sizing optimization method based on dividing rectangles algorithm and local response surface for steel frame structures

Y Wan, B Hu, Y Yang, F Jin, J Zhou, B Gao - Journal of Building …, 2023 - Elsevier
It has always been the goal of structural engineers to construct safe and stable buildings
using the least amount of materials. Utilizing a quick and effective way to optimize the cross …

Design of silicon nitride edge coupler for monolithically integrated laser on silicon photonic circuits with relaxed alignment tolerance and high efficiency

Y Yang, K Gao, H Zhang, H Liu, X Lu… - IEEE Photonics …, 2022 - ieeexplore.ieee.org
We propose a bi-layer 5-tip edge coupler in a multilayer silicon nitride-on-silicon (SiN-on-Si)
waveguide platform. The coupler is used for the integration between a monolithic 1550 nm …

Intelligent black–Litterman portfolio optimization using a decomposition-based multi-objective DIRECT algorithm

C Li, Y Chen, X Yang, Z Wang, Z Lu, X Chi - Applied Sciences, 2022 - mdpi.com
It is agreed that portfolio optimization is of great importance for the financial market.
However, input sensitivity and highly-concentrated portfolios have posed a challenge. In this …

On the Extension of the DIRECT Algorithm to Multiple Objectives

A Lovison, K Miettinen - Journal of Global Optimization, 2021 - Springer
Deterministic global optimization algorithms like Piyavskii–Shubert, direct, ego and many
more, have a recognized standing, for problems with many local optima. Although many …

Hypervolume-based DIRECT for multi-objective optimisation

CSY Wong, A Al-Dujaili, S Sundaram - … of the 2016 on Genetic and …, 2016 - dl.acm.org
DIRECT is a deterministic optimization algorithm based on the" divide-and-conquer"
paradigm. It looks for optimal solutions by systematic sampling of the feasible decision …

Optimal design of Traction Electric Motors by a new Adaptive Pareto Algorithm

D Barri, F Soresini, M Gobbi… - IEEE Transactions …, 2025 - ieeexplore.ieee.org
This paper deals with an adaptive multi-objective optimisation process for the design of
electric motors by means of supervised learning techniques. The process is based on a multi …

Multi-objective simultaneous optimistic optimization

A Al-Dujaili, S Suresh - Information Sciences, 2018 - Elsevier
Optimistic methods have been applied with success to single-objective optimization. Here,
we attempt to bridge the gap between optimistic methods and multi-objective optimization. In …

Constrained multiobjective optimization of expensive black-box functions using a heuristic branch-and-bound approach

DR Jones, A Lovison - Journal of Global Optimization, 2024 - Springer
While constrained, multiobjective optimization is generally very difficult, there is a special
case in which such problems can be solved with a simple, elegant branch-and-bound …

A multi-objective DIRECT algorithm toward structural damage identification with limited dynamic response information

P Cao, Q Shuai, J Tang - Journal of …, 2018 - asmedigitalcollection.asme.org
A major challenge in structural health monitoring (SHM) is to accurately identify both the
location and severity of damage using the dynamic response information acquired. While in …