Dear Dax
Thanks a lot for your favor.
in my model the MCPS is the same as ini_pi that you mentioned correctly in the above pseudo code just I want to clarify the MCPS as an output for my program. but I have the problem that the tprofit does not converge to a specific value and after 4 or 5 iteration the tprofit value fluctuate between 2 values . for example fluctuate between 4.59E8 and 1.103e8 and never converge to a specific value . and now I want to determine the maximum tprofit as an output of my program. I test this condition for several initial price (ini_pi) and I found that after 4 or 5 iteration these values are repeated until the end of the iteration that has been determined for the loop. Could you please help me that how could I define it for my program?
it means that after solve the loop problem automatically found the maximum profit after the 5 iteration, and also save and keep it ?
it means If (iter>5,then put tprofit=max )
thanks a lot for your favor in advance
regards
Mohammad
On Wednesday, July 24, 2013 4:49:27 PM UTC+8, dax wrote:
dear mohammad,
before trying to iterate over price levels, I think you should consider verifying the “physical” modelling first. it looks a little weird.
further, you do not mention how you intend to update your price – is it the MCPS parameter ?
if so, you just have to apply the pseudo-code I was mentioning yesterday, which yields something like :
*-----------------------------------
model mohammad /all/;
parameter MCPS(s,l);
set iter /it01*it10/ ;
loop(iter,
solve mohammad using NLP maximazing tprofit;
loop ((s,l),MCPS(s,l) =
-(sum(e,g.l(e,s,l))/refpi(s,l))+(refdem(s,l)/refpi(s,l));
if (MCPS(s,l) 0),
SOLVE …
- compute the new initial prices :
PRICE = …
IF (…, CONTINUE = 0 ; );
);
Hope this helps
cheers
dax
Le dimanche 21 juillet 2013 19:00:50 UTC+2, m asgary a écrit :
hi
I am a beginner in gams. I write a program in gams to solve an optimization problem . and then use the output in an equation to calculate the price. in continue I should put the outputs as an input parameters to solve the optimization problem and continue this iteration until the optimization problem converge.
for example :
I solve the problem and get the following results:
benefit = 250
g1=10
g2=20
…
and then put the g outputs in to the equation and get the price as follows
price(1,1) =2
price(1,2)=3
…
now I want to use these data as an input parameters that I specified them before as an initialprice and now I want to upgrade these initial price with these new results and then solve my model with them.
could you please help me ?
regards
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