Discussing the article: "Artificial Atom Algorithm (A3)"

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Check out the new article: Artificial Atom Algorithm (A3).

The article describes implementation of the A3 algorithm - a metaheuristic optimization method inspired by chemical processes - in MQL5. Only two adjustable parameters, compactness and a small population, ensure high operating speed with sufficient quality of solutions.

The algorithm models the interaction of atoms and electrons to find the optimal solution. The basic components are atoms that represent potential solutions to the problem. Electrons represent decision variables. Covalent bonding is an operator for storing and replicating the best solutions, ionic bonding is an operator for exploring the search space and achieving a global optimum. 

The algorithm starts by randomly generating a set of atoms, then evaluates the quality of each atom using the objective function, and then applies covalent and ionic bond operators to improve solutions (unfortunately, there is no description of how this is done). Next, it is necessary to evaluate the effect of electrons. Again, it is unclear how to do that. Electrons and atoms should be sorted. Okay, we can sort the atoms (solutions), but how we can sort the electrons is a mystery (it is like trying to sort a person's limbs, arms with legs, right with left - it does not matter). Repeat the process iteratively until the stopping criterion is reached. Well, as the saying goes, you have to work with what you have. We need to try to assemble an algorithm applying the authors' ideas.

Author: Andrey Dik