[HTML][HTML] A new firefly algorithm with improved global exploration and convergence with application to engineering optimization

M Ghasemi, S kadkhoda Mohammadi, M Zare… - Decision Analytics …, 2022 - Elsevier
Firefly algorithm (FA) is a powerful and efficient meta-heuristic algorithm which has shown
effective performance in the recent literature when applied to solving engineering …

Predicting the compressive strength of high-performance concrete employing multi-composed radial-based neural network

H Wang - Multiscale and Multidisciplinary Modeling, Experiments …, 2024 - Springer
In constructing bridges, dams, and other special structures, high-performance concrete
(HPC) is a widely used material that consists of cement, water, aggregates, and some …

Prediction of California bearing ratio using hybrid regression models

W Wang, L Zhao, D Dong - Signal, Image and Video Processing, 2024 - Springer
CBR assesses the subgrade strength of road infrastructure, typically requiring time-
consuming laboratory testing. In this study, Machine Learning (ML) has been used to avoid …

Enhancing Unconfined Compressive Strength prediction in geotechnical engineering: a novel approach using LSZO and LSWG optimization

K Zhao, G Zhao - Smart Science, 2024 - Taylor & Francis
ABSTRACT The Unconfined Compressive Strength (UCS) measures a rock's ability to
withstand axial loads without lateral support, crucial for engineering applications. Accurate …

AI-based KNN Approaches for Predicting Cooling Loads in Residential Buildings.

Z Du - International Journal of Advanced Computer Science …, 2024 - search.ebscohost.com
Cooling Load (CL) estimation in residential buildings is crucial for optimizing energy
consumption and ensuring indoor comfort. This article presents an innovative approach that …

[PDF][PDF] Decision Analytics Journal

A Aghsami, S Sharififar, NM Moghaddam, E Hazrati… - researchgate.net
Military systems have many components, such as garrisons, border guards, and industries
with a large population that may be affected by disasters. Garrisons, hospitals, clinics, and …