Discussing the article: "Population optimization algorithms: Charged System Search (CSS) algorithm"
You are missing trading opportunities:
- Free trading apps
- Over 8,000 signals for copying
- Economic news for exploring financial markets
Registration
Log in
You agree to website policy and terms of use
If you do not have an account, please register
Check out the new article: Population optimization algorithms: Charged System Search (CSS) algorithm.
In this article, we will consider another optimization algorithm inspired by inanimate nature - Charged System Search (CSS) algorithm. The purpose of this article is to present a new optimization algorithm based on the principles of physics and mechanics.
In physics, the space surrounding an electric charge has a property known as an electric field. This field exerts a force on other electrically charged objects. The electric field surrounding a point charge is determined by Coulomb's law. Coulomb confirmed that the electric force between any two small charged spheres is inversely proportional to the square of the distance between the particles along the line connecting them, and proportional to the product of the charges of the two particles. Additionally, the magnitude of the electric field at a point inside a charged sphere can be obtained using Gauss law, which states that it is proportional to the distance between particles. Using these principles, CSS defines a set of possible solutions called charged particles. Each particle is considered as a charged sphere (in contrast to the electromagnetic algorithm - EM, where the particle is a one-dimensional point) and can have an electrical effect on other agents (charged particles).
On the other hand, Newton's second law explains that the acceleration of an object is directly proportional to the net force acting on that object. Thus, the resulting electrical force acting on the particle causes it to accelerate. According to Newtonian mechanics, the position of a particle, considered as a point mass of infinitesimal size, is completely known at any time if its position, velocity and acceleration in space are known at the previous time. CSS uses the governing laws of motion from Newtonian mechanics to determine the position of particles. The application of these laws should, in theory, provide a good balance between exploration and exploitation of the algorithm.
Charged System Search (CSS) was first proposed by A. Kaveh and S. Talatahari in 2010.
Author: Andrey Dik