Particle swarm optimization (PSO) is one of the most well-regarded swarm-based algorithms
in the literature. Although the original PSO has shown good optimization performance, it still …

There has been an increasing demand for underground construction due to urbanization
and limited land in metropolitan cities in the recent years. However, the behavior of …

It was 35 years ago since the first usage of Artificial Intelligence (AI) technique in
geotechnical engineering, during those years many (AI) techniques were developed based …

Targeting at the slow convergence and the local optimum problems of particle swarm
optimization (PSO), a large-scale bi-level particle swarm optimization algorithm is proposed …

Optimization techniques have drawn much attention for solving geotechnical engineering
problems in recent years. Particle swarm optimization (PSO) is one of the most widely used …

In this study, an effective intelligent system based on artificial neural networks (ANN) and a
new version of the sine cosine algorithm (SCA) is developed to evaluate and predict the …

Based on the salp swarm algorithm (SSA), this paper proposes an efficient metaheuristic
algorithm for solving global optimization problems and optimizing two commonly …

Among various effecting factors, groundwater is commonly known as one of the major
triggers for slope failures. Thus, it is great significant of considering the contribution from …

The Bishop method is often adopted to evaluate the stability of slope, but this method can't
effectively consider the inherent variation characteristics of soil. This study focuses on the …

One of the most important topics in geotechnical engineering is seismic analysis of the earth
slope. In this study, a pseudo-static limit equilibrium approach is applied for the slope …