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RE: [amibroker] Re: The EASIEST way to use new optimizer engines



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It is somewhat meaningless to compare intelligent optimizers with exhaustive search due to the fact that for most real world problems exhaustive search would need more time than the universe has been around to solve them … It is also somewhat meaningless to compare intelligent optimizers with each other based on problems that are solvable by exhaustive search.

 

In regards to the imbedded PSO & Tribes algorithms you state …

 

“You should increase the number of evaluations with increasing number of dimensions.  The default 1000 is good for 2 or maximum 3 dimensions” …

 

Can you provide any guidance as to what relationship should exist between the number of dimensions and the number of tests ? i.e. what’s a reasonable number of tests for 5 dimensions, 10, 100 ?

 

Can you explain the difference between 1 run with 5000 tests and 5 runs with 1000 tests ?

 

 

As far as CMAE is concerned … Maybe I’m missing something but it doesn’t seem that CMAE has anything in terms of speed over AB’s PSO or Tribes …

 

I tried CMAE out on a real world intelligent optimization problem with 15 variables trading 100 symbols by adding the required statement to the AFL …

 

Run time for CMAE to complete was 459 minutes …

 

 

Run times for AB’s PSO and Tribes to complete with 5 runs and 1000 tests was in the neighborhood of 75 minutes each with results being the sane as CMAE.

 

 

As an FYI …

 

Run times for IO’s DE and PS to complete via their own internal decision making process w/o the help of additional cores ( servers ) was in the same neighborhood with times of 72 and 53 minutes respectively.

 

With the help of additional cores ( 7 ) IO’s DE and PSO ran to completion in 11 and 8 minutes respectively …

 

 


From: amibroker@xxxxxxxxxxxxxxx [mailto:amibroker@xxxxxxxxxxxxxxx] On Behalf Of Tomasz Janeczko
Sent: Friday, June 27, 2008 8:05 PM
To: amibroker@xxxxxxxxxxxxxxx
Subject: Re: [amibroker] Re: The EASIEST way to use new optimizer engines

 

FYI: using new optimizer engine (cmae) to optimize seemingly
simple 3 parameter (ranging 1..100) system gives speed up
of more than 1000 times, as cmae optimizer is able to find best
value in less than 1000 backtests compared to one million backtests
using exhaustive search. It also outperforms PSO usually by factor of 10.

That is 500 times faster than you would get from exhaustive opt using your dual core
and 5 times faster than PSO on dual core.

CMA-ES delivers MORE in terms of speed with LESS development time.

Best regards,
Tomasz Janeczko
amibroker.com



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