Fred,
I don't know why you took some kind of mission on criticizing last developments
maybe this is because
you are selling IO while AB optimizer is offered as free upgrade and that makes
you angry.
I don't know why this is so, because actually you can benefit from that too - I
have provided
full source code so everything is open for innovation and improvement, unlike
black box IO.
The fact is that you are comparing APPLES TO ORANGES.
You should really READ the documentation I have provided and visit links I have
provided.
CMA-ES DEFAULTS are well suited for tests that are replacement of exhaustive
searches.
They are however too large for 15 variables. For example CMO by default will use
900 * (N + 3 ) * (N+3 ) max evaluations. It converges much quicker therefore
estimate
displayed in the progress bar is calculated as follows 30 * (N+3) * (N+3)
You are comparing 1000 evaluations of PSO with CONSTANT population size
to 10000+ evaluations of CMAE with GROWING population size default settings.
You are comparing elephant to an ant.
If you want to COMPARE things you need to set up IDENTICAL conditions.
That would be:
OptimizerSetOption("Runs", 1 );
OptimizerSetOption("MaxEval", 10000 );
With *IDENTICAL* conditions, CMA-ES will run faster.
Best regards,
Tomasz Janeczko
amibroker.com
----- Original Message -----
From: Fred Tonetti
To: [email protected]
Sent: Saturday, June 28, 2008 7:15 AM
Subject: RE: [amibroker] Re: The EASIEST way to use new optimizer engines
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: [email protected] [mailto:[EMAIL PROTECTED] On Behalf Of Tomasz
Janeczko
Sent: Friday, June 27, 2008 8:05 PM
To: [email protected]
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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