Application of state-of-the-art multiobjective metaheuristic algorithms in reliability-based design optimization: a comparative study

Z Meng, BS Yıldız, G Li, C Zhong, S Mirjalili… - Structural and …, 2023 - Springer
Multiobjective reliability-based design optimization (RBDO) is a research area, which has
not been investigated in the literatures comparing with single-objective RBDO. This work …

Enhancing Ethiopian power distribution with novel hybrid renewable energy systems for sustainable reliability and cost efficiency

TF Agajie, A Fopah-Lele, I Amoussou, B Khan… - Scientific Reports, 2024 - nature.com
Economic development relies on access to electrical energy, which is crucial for society's
growth. However, power shortages are challenging due to non-renewable energy depletion …

MECSBO: Multi‐strategy enhanced circulatory system based optimisation algorithm for global optimisation and reliability‐based design optimisation problems

S Yang, C Guo, D Meng, Y Guo, Y Guo… - IET Collaborative …, 2024 - Wiley Online Library
Abstract The Circulatory System Based Optimisation (CSBO) stands as a nascent
metaheuristic optimisation algorithm known for its proficiency in tackling global optimisation …

IWOSSA: An improved whale optimization salp swarm algorithm for solving optimization problems

MM Saafan, EM El-Gendy - Expert systems with applications, 2021 - Elsevier
In this paper, a hybrid improved whale optimization salp swarm algorithm (IWOSSA) is
proposed. The main idea behind IWOSSA is to combine improved Whale Optimization …

Reliability-based design optimization: a state-of-the-art review of its methodologies, applications, and challenges

W Hu, S Cheng, J Yan, J Cheng, X Peng… - Structural and …, 2024 - Springer
Reliability-based design optimization (RBDO) integrates various uncertainties into the
design optimization process, offering a more realistic and robust approach compared to …

A meta-heuristic approach for reliability-based design optimization of shell-and-tube heat exchangers

J Jafari-Asl, ODL Montaño, S Mirjalili… - Applied Thermal …, 2024 - Elsevier
This study introduces a new framework for optimizing Shell-and-Tube Heat Exchanger
(STHE) layouts using a reliability-based design optimization (RBDO) approach. The …

Metaheuristic learning algorithms for accurate prediction of hydraulic performance of porous embankment weirs

M Rahmanshahi, J Jafari-Asl, M Fathi-Moghadam… - Applied Soft …, 2024 - Elsevier
A porous weir is an environmentally friendly structure with minimal negative environmental
impact. Due to the complex flow mechanism around porous weirs, it is difficult to provide a …

On the modeling of the annual corrosion rate in main cables of suspension bridges using combined soft computing model and a novel nature-inspired algorithm

MEA Ben Seghier, JAFO Corriea, J Jafari-Asl… - Neural Computing and …, 2021 - Springer
Suspension bridges are critical components of transport infrastructure around the world.
Therefore, their operating conditions should be effectively monitored to ensure their safety …

[HTML][HTML] A novel intervention effect-based quadratic time-varying nonlinear discrete grey model for forecasting carbon emissions intensity

L Ye, L Fang, Y Dang, J Wang - Information Sciences, 2024 - Elsevier
In the context of severe global warming, accurately exploring the trend of carbon emissions
intensity (CEI) changes is of great significance for mitigating climate change issues. The …

Advancements in flow behavior investigation and performance enhancement of morning glory spillways: a systematic review of numerical and physical models

LS Othman, KZ Abdulrahman - Iranian Journal of Science and Technology …, 2024 - Springer
Conducting numerical and physical models to investigate the flow behavior through morning
glory spillways (MGSs) are the only two methods usually used in the design phase of such …