Discussing the article: "Royal Flush Optimization (RFO)"

[MetaQuotes]

Check out the new article: Royal Flush Optimization (RFO).

The original Royal Flush Optimization algorithm offers a new approach to solving optimization problems, replacing the classic binary coding of genetic algorithms with a sector-based approach inspired by poker principles. RFO demonstrates how simplifying basic principles can lead to an efficient and practical optimization method. The article presents a detailed analysis of the algorithm and test results.

My algorithm, Royal Flush Optimization (RFO), is a new approach to solving optimization problems that retains the main advantages of genetic algorithms but uses a more direct way of representing solutions. The key idea is to split each coordinate of the search space into sectors, similar to how a poker hand is made up of individual cards of a certain rank. Instead of working with bit strings, the algorithm manages map ranks (sector numbers), which allows the topology of the search space to be naturally preserved.

In my opinion, the main advantages of the proposed approach are both its simplicity of implementation and intuitive clarity (working with "maps" is more visual than with bit strings), and the absence of the need to encode and decode real numbers while preserving the combinatorial properties of the genetic algorithm. In this article, we will consider in detail the implementation of the algorithm and the features of the decision modification operators.

The poker metaphor not only gives the algorithm its name, but also describes its essence well: just as in poker a player strives to collect the best combination of cards, the algorithm combines sectors of different solutions, gradually forming optimal "hands." Just as in poker each card has its own rank and suit, so in the algorithm each sector has its own value and position in the search space. In this case, as in a real game, it is not only the value of individual cards that is important, but also their interaction in the overall combination.

Author: Andrey Dik

[Alex-4]

And how exactly (in terms of ideas)

can we adapt the calculations

in EA specifically for BP? I've looked

at a quick glance and on the mql website I did not find any specifics.

[Andrey Dik]

blef #:

And how exactly (in terms of ideas)

you can adapt the calculations

in EA specifically for BP? Looked at

at a quick glance and on the mql website I couldn't find any specifics.

In all cases when it is necessary to find the best solution among many possible ones. For example, advisors with self-optimisation.