[HTML][HTML] Recent developments in damage identification of structures using data mining

M Gordan, HA Razak, Z Ismail… - Latin American Journal of …, 2017 - SciELO Brasil
Civil structures are usually prone to damage during their service life and it leads them to loss
their serviceability and safety. Thus, damage assessment can guarantee the integrity of …

A hybrid ANN-based imperial competitive algorithm methodology for structural damage identification of slab-on-girder bridge using data mining

M Gordan, HA Razak, Z Ismail, K Ghaedi, ZX Tan… - Applied Soft …, 2020 - Elsevier
Implementation of data mining (DM) techniques in different areas of civil engineering has
recently given very good results. However, application of DM in structural health monitoring …

A smart metaheuristic algorithm for solving engineering problems

D Sattar, R Salim - Engineering with Computers, 2021 - Springer
Every day, the immature sunflowers generate heliotropic movements. Two growth
mechanisms are controlled on the heliotropic movements of immature sunflowers. The first …

Cognitive behavior optimization algorithm for solving optimization problems

M Li, H Zhao, X Weng, T Han - Applied Soft Computing, 2016 - Elsevier
Nature-based algorithms have become popular in recent fifteen years and have been widely
applied in various fields of science and engineering, such as robot control, cluster analysis …

Data mining-based firefly algorithm for green vehicle routing problem with heterogeneous fleet and refueling constraint

J Behnamian, M Ghadimi, M Farajiamiri - Artificial Intelligence Review, 2023 - Springer
One of the major reasons for the importance of green vehicle routing is that current
distribution systems are not sustainable in the long run. Because currently, only …

Improved sandcat swarm optimization algorithm for solving global optimum problems

H Jia, J Zhang, H Rao, L Abualigah - Artificial Intelligence Review, 2024 - Springer
The sand cat swarm optimization algorithm (SCSO) is a metaheuristic algorithm proposed by
Amir Seyyedabbasi et al. SCSO algorithm mimics the predatory behavior of sand cats, which …

Data mining based damage identification using imperialist competitive algorithm and artificial neural network

M Gordan, HA Razak, Z Ismail… - Latin American Journal of …, 2018 - SciELO Brasil
Currently, visual inspections for damage identification of structures are broadly used.
However, they have two main drawbacks; time limitation and qualified manpower …

Analytics branching and selection for the capacitated multi-item lot sizing problem with nonidentical machines

T Wu, Z Liang, C Zhang - INFORMS Journal on Computing, 2018 - pubsonline.informs.org
We study a capacitated multi-item lot sizing problem with nonidentical machines. For the
problem, we propose several mathematical formulations and their per-item and per-period …

Data-driven branching and selection for lot-sizing and scheduling problems with sequence-dependent setups and setup carryover

C Zhang, D Zhang, T Wu - Computers & Operations Research, 2021 - Elsevier
The capacitated lot-sizing and machine scheduling problem with sequence-dependent
setup time and setup carryover is a challenging problem with a wide application in …

Data mining technology for structural control systems: concept, development, and comparison

M Gordan, Z Ismail, Z Ibrahim… - Recent Trends in Artificial …, 2019 - books.google.com
Structural control systems are classified into four categories, that is, passive, active, semi-
active, and hybrid systems. These systems must be designed in the best way to control …