Discussing the article: "Atomic Orbital Search (AOS) algorithm"

 

Check out the new article: Atomic Orbital Search (AOS) algorithm.

The article considers the Atomic Orbital Search (AOS) algorithm, which uses the concepts of the atomic orbital model to simulate the search for solutions. The algorithm is based on probability distributions and the dynamics of interactions in the atom. The article discusses in detail the mathematical aspects of AOS, including updating the positions of candidate solutions and the mechanisms of energy absorption and release. AOS opens new horizons for applying quantum principles to computing problems by offering an innovative approach to optimization.

In simple terms, in AOS the population of candidate solutions can be figuratively represented as a molecule, where the atoms correspond to coordinates in the search space, and the electrons in these atoms correspond to specific solutions. Thus, if the population consists of 50 candidate solutions, then in each atom there will be 50 electrons distributed across the layers according to the log-normal distribution.

In the description of the algorithm, the author does not indicate how the diameter of the atom outer layer is determined, implying that the atom nucleus is located in the center in relation to the layers. This means that the atom, together with the layers, moves within the given boundaries of the problem. To give the algorithm greater flexibility, we agree that the diameter of the outer layer will correspond to the [min; max] range for the corresponding coordinate in the search space, and the center of the atomic nucleus will be located at the point of the best global solution for the given coordinate. Visually, the model of an atom in AOS can be represented in Figure 1.

AOS

Figure 1. Model of an atom in the AOS algorithm, where the dots represent electrons and the dotted line represents the log-normal distribution of electrons


Author: Andrey Dik

 

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