Swarm intelligence (SI) is the collective behavior of decentralized, self-organized natural or
artificial systems. Monarch butterfly optimization (MBO) algorithm is a class of swarm …

Recently, many optimization algorithms have been applied for Feature selection (FS)
problems and show a clear outperformance in comparison with traditional FS methods …

Particle swarm optimization (PSO) is a population based meta-heuristic search algorithm
that has been widely applied to a variety of problems since its advent. In PSO, the inertial …

This paper capitalizes on the increasingly high relevance gained by data-intensive
technologies in the development of intelligent transportation system, which calls for the …

This paper considers a variant of the classical capacitated vehicle routing problem called
clustered vehicle routing problem (CluVRP). In CluVRP, customers are grouped into …

Blasting is a useful technique for rocks fragmentation in open-pit mines, underground mines,
as well as for civil engineering work. However, the negative impacts of blasting, especially …

With the development of the logistics economy, problems such as the timeliness of logistics
distribution and the high cost of distribution have emerged. A new adaptive genetic …

In this paper, a hybrid Voronoi-based ant colony optimization (V-ACO) technique for multiple
autonomous marine vehicles (AMVs) is proposed to solve adaptive ocean sampling …

Abstract The recently introduced Marine Predators Algorithm (MPA) exhibits competitive
performance in solving optimization problems. However, it often prematurely converges due …

Growing concerns about the climate change have forced governments to initiate tighter
environmental regulations and tougher emission reduction targets, increasing the interest on …