Particle Swarm Optimization (PSO) is a population-based metaheuristic inspired by the collective movement of social organisms. Since its inception in the mid-1990s, PSO has undergone extensive ...

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

In complex environments such as dense forests, detecting and tracking moving targets presents significant challenges due to ...

Using a Particle Swarm Optimization (PSO) algorithm, the study found that coordinated sizing and dispatch of distributed energy resources can ...

Combinatorial optimization problems are encountered often in various real-world applications, including logistics, scheduling, and network design ...