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Home/ Questions/Q 5247
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c00l777
c00l777

c00l777

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c00l777
Asked: December 29, 20202020-12-29T09:36:48+00:00 2020-12-29T09:36:48+00:00In: Forex Expert Advisors

Automatic switching to the genetic algorithm, how to deal with trouble.

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Hello ladies and gentlemen. I decided, after all, to switch to MT5. Of course, there are a lot of new and interesting things. One thing was very frustrating, in the 64-bit version it is impossible to work without a genetic algorithm with iteration options of more than 100 million. Even if you ask a full search, with the number of options more than 100 million, the tester automatically turns on the genetic algorithm. In my case, I put the computer on for a few days and I am satisfied with a larger number of options. Is there a way to increase this number, or maybe someone knows how to contact the developer? I didn’t find any contacts on the MetaQuotes site.
Thank you all in advance.

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    1. 223231

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      223231
      2020-12-29T09:37:35+00:00Added an answer on December 29, 2020 at 9:37 am

      What unique tasks each trader decides.

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    2. laryx

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      laryx
      2020-12-29T09:37:30+00:00Added an answer on December 29, 2020 at 9:37 am

      Luchezar Shalomaev:

       changing a single number in the code is not difficult. Although, metaqoutes is an extremely lazy company

      I think the point here will be that a much larger number of users will not understand why all of a sudden their optimization began to take much more time than it took before. It is easier to turn on the genetic optimizer on the machine than to explain to hundreds of users where the strange number of millions of passes comes from.

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    3. c00l777

      c00l777

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      c00l777
      2020-12-29T09:37:21+00:00Added an answer on December 29, 2020 at 9:37 am

      George Merts:

      I also don’t understand the need for a full search.

      If there is a region of high values in the fitness function, then the genetic algorithm will find it and reach the maximum point.

      If the maximum of the fitness function is not in the region, but simply in a single “outlier” – then, although the genetic algorithm can skip it (and a full search will find it) – it is unwise to use the “outlier” data.

      That’s the point. It is emissions that work. Moreover, they have been working for 3 years. The result is stable, 600% per year.

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    4. laryx

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      2020-12-29T09:37:14+00:00Added an answer on December 29, 2020 at 9:37 am

      Renat Fatkhullin:
       

      In general, your genetic algorithm should be able to show all these areas 100 times. I don’t understand why you need a full crawl. Especially given the fact that you didn’t say a word about the problem, the methods of solving it, and what you are looking for specifically.

      I also do not understand what is the need for a complete search.

      If there is a region of high values in the fitness function, then the genetic algorithm will find it and reach the maximum point.

      If the maximum of the fitness function is not in the region, but simply in a single “outlier” – then, although the genetic algorithm can skip it (and a full search will find it) – it is unwise to use the “outlier” data.

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    5. c00l777

      c00l777

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      c00l777
      2020-12-29T09:37:03+00:00Added an answer on December 29, 2020 at 9:37 am

      George Merts:

      Divide your range into several, so that each of the sub-ranges includes less than 100 million variants. And iterate over the sequence.

      I wonder what you have there for such a supercomputer, and a super-simple expert that 100 million options require only a few days of brute force ? Even if you bet for a week – you need to do 200 passes per second.

      Thank you, the breakdown is clear. The problem is that often the tester finishes at night, and this is a waste of time. The computer was configured specifically. Core i9-7980 – 18 cores, 32 Giga memory, DDR4 frequency 2666 Mhz. As for the adviser, it is really simple MA/BB. It has been working since 2014, but the number of transactions is 10-15 per year, you will not earn much. On the previous computer, I managed to bring only 2 pairs to mind, testing takes 2-3 months. I hope to connect a dozen more on this.

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    6. renat

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      2020-12-29T09:36:58+00:00Added an answer on December 29, 2020 at 9:36 am

      There’s even save settings and results of 100,000,000 passes (how many bytes per pass?) you may not have enough memory.

      If the technique stops the frontal method, then you need to look for another smarter option.

      If you have hundreds of millions/billions of passes at minimal cost, then rewrite your algorithm as:

      for(int i=0;ifor(int j=0;jfor(int k=0;kand make a frontal pass.

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    7. laryx

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      laryx
      2020-12-29T09:36:53+00:00Added an answer on December 29, 2020 at 9:36 am

      Divide your range into several, so that each of the sub-ranges includes less than 100 million variants. And iterate over the sequence.

      I wonder what you have there for such a supercomputer, and a super-simple expert that 100 million options require only a few days of brute force ? Even if you bet for a week – you need to do 200 passes per second.

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