Over the ages, nature has constantly been a rich source of inspiration for science, with much
still to discover about and learn from. Swarm Intelligence (SI), a major branch of artificial …

Particle swarm optimization algorithm (PSO) has been optimized from various aspects since
it was proposed. Optimization of PSO can be realized by optimizing its iterative process or …

Particle swarm optimization (PSO) is a type of swarm intelligence algorithm that is frequently
used to resolve specific global optimization problems due to its rapid convergence and ease …

The policy of balance between exploration capability and exploitation capability directly
affects the solution performance of the meta-heuristic algorithm in a limited time. In order to …

The neutron spectrum unfolding by Bonner sphere spectrometer (BSS) is considered a
complex multidimensional model, which requires complex mathematical methods to solve …

A wall-following robot is one of the main issues in autonomous mobile robot behavior.
However, a wall-following robot needs a robust controller to perform specific tasks …

Quadrupole mass spectrometers (QMS) are widely used for clinical diagnosis and chemical
analysis. To obtain the best experimental results, mass spectrometers must be calibrated to …

This work presents a new particle swarm optimizer (PSO)‐based metaheuristic algorithm
designed to reduce overall computational cost without compromising optimization's …

Based on the pursuit of different goals in the operation of the microgrid, it is not possible to
meet the lowest cost and the least pollution at the same time. From the perspective of …

Unmanned aerial vehicles (UAVs) have the advantages of low-cost and flexible deployment.
It can be used as the aerial transmitter in forests scenarios. However, forest terrain has …