Particle swarm optimization (PSO) is a popular heuristic method, which is capable of
effectively dealing with various optimization problems. A detailed overview of the original …

This paper proposes an enhancement of the meta-heuristic whale optimization algorithm
(WOA) for maximum power point tracking (MPPT) of variable-speed wind generators. First of …

Particle swarm optimization is one of the most effective optimization algorithms motivated by
bird flocking behaviours. Population topology is a key aspect of particle swarm optimization …

Adaptive formation tracking problems for swarm systems with multiple leaders and switching
topologies are studied in this paper. It is required that the followers form time-varying …

The application of drones in last-mile distribution has been a contentious research topic in
recent years. Existing urban distribution modes mostly depend on trucks. This paper …

Popular methods to deal with computation become strenuous due to the optimization
demands that develop more complex nowadays. This research aims to propose a new …

In the context of area coverage tasks in three-dimensional space, unmanned aerial vehicle
(UAV) clusters face challenges such as uneven task assignment, low task efficiency, and …

In the past few decades, metaheuristic algorithms (MA) have been developed tremendously
and have been successfully applied in many fields. In recent years, a large number of new …

The marine predators algorithm (MPA) is a novel population‐based optimization method that
has been widely used in real‐world optimization applications. However, MPA can easily fall …

Abstract Particle Swarm Optimization (PSO) is one of the most popular optimization
algorithms that has been adopted in various fields, including design, scheduling, and …