Discussion of article "Self-optimization of EA: Evolutionary and genetic algorithms" - page 4
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Your proposed Core Objective is of no interest. (kindergarten)
Secondary - I am ready to confirm my words. I will provide a complex function, you try to solve it with your library, I will solve it with mine. Let's compare accuracy and speed.
Watch your words and don't fall into childishness. More serious.
No, there will be several functions, yours and ours. The MQL executable code must be open, so that everyone can verify how many times the FF is called. GA is allowed as a *.ex5 library, functions in the executable programme will be unified. Possible manipulations and cheating will be excluded, no one will be able to deceive anyone.
I am responsible for my words. I recommend you to do the same.
No, there will be several functions, yours and ours. The MQL executable code must be open, so that everyone can verify how many times the FF is called. GA is allowed as a *.ex5 library, functions in the executable programme will be unified. Possible manipulations and cheating will be excluded, no one will be able to deceive anyone.
I am responsible for my words. I recommend you to do the same.
Well, suggest functions.
OK. It will take time to prepare functions and conditions for tests, as well as a methodology for evaluating test results. I will take upon myself the organisational part of this event and the preparation of the executable file in the source code (a week - two I think will be enough for me to prepare). I will create a separate thread, you will receive an invitation to the championship here.
I recommend to start preparing now.
Well, suggest features.
Join the discussion. You'll be on your way out soon.
It's not a discussion, it's more like "Let them talk" at its worst.
I'm glad I didn't go there before.
I'm gonna go wash my hands.
It's horrible.
It's not a discussion, it's more like "Let them talk" at its worst.
I'm glad I didn't go there before.
I'm gonna go wash my hands.
That's terrible.
Published article Self-optimisation of EA: genetic and evolutionary algorithms:
Author: Vladimir Perervenko