Realistic problems typically have many conflicting objectives. Therefore, it is instinctive to
look at the engineering problems as multi-objective optimization problems. This paper briefly …

Over the past decade, unmanned aerial vehicles (UAVs) have demonstrated increasing
promise. In this context, we provide a review on swarm intelligence algorithms that play an …

The whale optimization algorithm (WOA) tends to suffer from slow convergence speed and
quickly falling into the local optimum. In this work, a WOA variant is proposed based on multi …

Automatic path planning problem is essential for efficient mission execution by unmanned
aerial vehicles (UAVs), which needs to access the optimal path rapidly in the complicated …

Particle swarm optimization (PSO) has shown its advantages in various optimization
problems. Topology and updating strategies are among its key concepts and have …

In recent years, swarm intelligence algorithms have received extensive attention and
research. Swarm intelligence algorithms are a biological heuristic method, which is widely …

The act of accessing the exact location, or position, of a node in a network is known as the
localization of a network. In this methodology, the precise location of each node within a …

Agricultural metaverse (AgriVerse) aims to optimize the production chain by saving costs,
increasing efficiencies, and breaking information silos, in order to achieve sustainable …

In this paper, a novel outlier detection method is proposed for industrial data analysis based
on the fuzzy C-means (FCM) algorithm. An adaptive switching randomly perturbed particle …

The sustainable development of port operation management is strongly related to the
energy consumption of production at automated container terminals (ACTs). This paper …