This paper presents an overview of the research progress in Particle Swarm Optimization
(PSO) during 1995–2017. Fifty two papers have been reviewed. They have been …

The design of complex mechanical components is a time-consuming process which involves
many design variables with multiple interacted objectives and constraints. Traditionally, the …

The CrackNet, an efficient architecture based on the Convolutional Neural Network (CNN),
is proposed in this article for automated pavement crack detection on 3D asphalt surfaces …

In this paper, we present the swarm intelligence (SI) concept and mention some
metaheuristics belonging to the SI. We present the particle swarm optimization (PSO) …

Fog computing (FC) designates a decentralized computing structure placed among the
devices that produce data and cloud. Such flexible structure empowers users to place …

Vibration-based structural health monitoring (SHM) for long-span bridges has become a
dominant research topic in recent years. The Nam O Railway Bridge is a large-scale steel …

This research applies multi-objective dynamic programming–specifically, goal programming–
solved using a computationally efficient heuristic minimum path-finding algorithm (A*) to …

The aim of this paper is to review existing publicly available and open artificial intelligence
(AI) oriented datasets in different domains and subdomains of the railway sector. The …

We propose to combine a physics-based finite element (FE) track model and a data-driven
Gaussian process regression (GPR) model to directly infer railpad and ballast stiffness from …

With crew scheduling and Artificial Intelligence (AI) gaining attention in the past few years,
there has been growing interest in algorithms that could effectively handle the crew …