Discussing the article: "Artificial Electric Field Algorithm (AEFA)"
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Check out the new article: Artificial Electric Field Algorithm (AEFA).
The article presents an artificial electric field algorithm (AEFA) inspired by Coulomb's law of electrostatic force. The algorithm simulates electrical phenomena to solve complex optimization problems using charged particles and their interactions. AEFA exhibits unique properties in the context of other algorithms related to laws of nature.
The artificial electric field algorithm is inspired by Coulomb's law, which states that the electrostatic (attraction or repulsion) force between two charged particles is directly proportional to the product of their charges and inversely proportional to the square of the distance between them. In the proposed algorithm, agents are considered as charged particles, and their strength is measured by their charges. All these particles can attract or repel each other by electrostatic force, and because of this force, objects move in the search space. Therefore, charges are used as a direct form of communication through electrostatic force, and the position of the charge corresponds to the solution of the problem. The charges are defined as a function of the candidate solution fitness and the fitness of the population. In the proposed algorithm, we consider only the attraction of the electrostatic force such that the charged particle with the highest charge (the "best" individual) attracts all other particles with a lower charge and moves slowly in the search space.Author: Andrey Dik