Images gathered from different satellites are vastly available these days due to the fast
development of remote sensing (RS) technology. These images significantly enhance the …

Satellite images taken on the earth's surface are analyzed to identify the spatial and
temporal changes that have occurred naturally or manmade. Real-time prediction of change …

In this paper, a parameter adaptation-based ant colony optimization (ACO) algorithm based
on particle swarm optimization (PSO) algorithm with the global optimization ability, fuzzy …

The ant colony optimization (ACO) is the most exceptionally fundamental swarm-based
solver for realizing discrete problems. In order to make it also suitable for solving continuous …

In this paper, an effective improved co-evolution ant colony optimisation (MSICEAO)
algorithm is presented to solve complex optimisation problem. In the MSICEAO, the multi …

Continuous ant colony optimization was a population-based heuristic search algorithm
inspired by the pathfinding behavior of ant colonies with a simple structure and few control …

This paper focuses on the study of multilevel COVID-19 X-ray image segmentation based on
swarm intelligence optimization to improve the diagnostic level of COVID-19. We present a …

In recent years, multi-label learning becomes a trending topic in machine learning and data
mining. This type of learning deals with data that each instance is associated with more than …

Path planning for multiple Unmanned Ground Vehicles (UGVs) is a critical problem for UGV
autonomy and is increasingly attracting attention due to its wide applications. This paper …

With rapid advancements in remote sensing image registration algorithms, comprehensive
imaging applications are no longer limited to single-modal remote sensing images. Instead …