Landslide susceptibility analysis is beneficial information for a wide range of applications,
including land use management plans. The present attempt has shed light on an efficient …

This article addresses the spatial analysis of landslide susceptibility in the Ardabil province
of Iran. To this end, two well-known optimization algorithms, namely genetic algorithm (GA) …

Many landslides occur in the Karun watershed in the Zagros Mountains. In the present study,
we employed a novel comparative approach for spatial modeling of landslides given the …

Landslide is a natural phenomenon that can turn into a natural disaster. The main goal of
this research was to spatial prediction of a high-risk region located in the Zagros mountains …

Mapping of landslide susceptibility is an important tool to prevent and control landslide
disasters for a variety of applications, such as land use management plans. The main …

Four state-of-the-art metaheuristic algorithms including the genetic algorithm (GA), particle
swarm optimization (PSO), differential evolutionary (DE), and ant colony optimization (ACO) …

Landslides are natural and sometimes quasi-natural hazards that are destructive to natural
resources and cause loss of human life every year. Hence, preparing susceptibility maps for …

The main aim of this paper is to develop a new hybrid method to assess landslide
susceptibility mapping (LSM) in neighboring provinces of Alborz Mountains in Iran. In the …

Landslides, the most significant geohazards in Iran, adversely affect the region's
socioeconomic conditions and the environment. Landslide susceptibility mapping is crucial …

The objective of this investigation is to produce maps identifying areas prone to landslides
(LSMs) by utilizing multiple machine learning techniques, including the harmony search …