The existing real-time iterative closest contour point (ICCP) algorithm uses fixed matching
sequence length, which is set according to human experience and cannot obtain the best …

Background Secondhand smoke (SHS) exposure is known to trigger asthma, but asthma
disease severity and comorbidities in children exposed to SHS are not very well quantified …

The positioning accuracy of the gravity-aided navigation is closely related to the selection of
local gravity maps. In this paper, the local gravity maps are converted into 8-bit gray images …

Neural architecture search (NAS) is an extremely complex optimization task. Recently,
population-based optimization algorithms, such as evolutionary algorithm, have been …

Inferring gene regulatory networks (GRNs) is a challenging computational task in system
biology. Many inference algorithms have been proposed along with related modifications to …

Sažetak The Gravitational Field Algorithm, a modern optimization algorithm, mainly
simulates celestial mechanics and is derived from the Solar Nebular Disk Model (SNDM). It …

Abstract Gravitation Field Algorithm (GFA) is a novel optimization algorithm derived from the
Solar Nebular Disk Model (SNDM) in astronomy and inspired by the formation process of …

State estimation is the key stage of target tracking. Particle Filter (PF) as a method to solve
the state estimation problem has been applied to target tracking. However, PF has some …

Gravitation field algorithm (GFA) is a novel optimization algorithm derived from the Solar
Nebular Disk Model (SNDM) in astronomy, based on the formation of planets, in recent …

In this chapter, a set of (more specifically 22 in total) emerging physics-based computational
intelligence (CI) algorithms are introduced. We first, in Sect. 24.1, describe the …