different solve in a loop???it doesn't work!!

Hi all,
I’m trying to run a NLP model for different water available.(Farm model)
I need some help through this matter that how can i use different solves in a loop. when i run my model it just give me one output. I need the output like this:for different water available I need to solve the model and at the end need the marginal value of this equation"const_CWAL ", such as like as following:
W=20 const_CWAL.m =?
W=40 const_CWAL.m =?



W=180 const_CWAL.m=?
At the end I’m going to draw W versus const_CWAL .m.

THANK YOU FOR YOUR HELP.

My codes are enclosed to this Post:


SETS
j crop type / A,B,C,D/

PARAMETER MY(j) Maximum crop yield[tons per hectare] /A 4.383,B 3.113,C 4.100,D 2.900/;
PARAMETER PR(j) Crop price [ per ton] /A 251.88,B 539.05,C 251.88,D 539.05/; PARAMETER PC(j) Production costs [ per ha] /A 1053.75,B 1205.50,C 1053.75,D 1205.50/;
PARAMETER MArea(j) Maximum area[ha] /A 10000,B 20000,C 4700,D 1230/;

SCALAR W water available/180/

PARAMETER Max_ET(j) crop water requirement(sum over one year)[m3 per ha]
/A 3000,B 5546,C 3444,D 5748/;

PARAMETER Ky(j) Yield response factor[-] /A 1.15, B 0.85,C 1.15,D 0.85/;
SCALARS SMArea total area[ha] /35930/;

VARIABLES
Obj Objective function(Profit-Net Revenue[$])
;

POSITIVE VARIABLE
Real_ET(j) Crop Water Allocated(Real evapotranspiration)[m3 per ha]
Xcrop(j) Number of hectar for each crop[ha]
Income Income [Dollar per hectar];

*upper bound for allocated water
Real_ET.up(j)=Max_ET(j);
Real_ET.l(j)= W;

Xcrop.l(j)=SMArea/card(j);


EQUATIONS
const_area(j) Area constraint
const_CWAL Allocated water constraint
Objective;

const_area(j)…Xcrop(j)=l=MArea(j);
const_CWAL…sum(j,Real_ET(j)Xcrop(j))=l= W1000000 ;
Objective…Obj=e=sum(j,MY(j)PR(j)Xcrop(j)(1-Ky(j)(1-Real_ET(j)/Max_ET(j))))-sum(j,Xcrop(j)*Pc(j));


MODEL Problem_crop_yield /All/;

SETS i /1*9/;
PARAMETER WW(i) total available water[million m3] /1 20,2 40,3 60,4 80,5 100,6 120,7 140,8 160,9 180/;

LOOP(i,
W=WW(i));
SOLVE Problem_crop_yield USING NLP MAXIMIZING Obj;

;
display Obj.l,const_CWAL.m;
****************************************************************************************************************************************************8

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Hi

You only report the last solve result.
Define a parameter that will store your results before the loop and assign the results directly after the solve.

Parameter results(*,i) results of loops;

Loop(i,

Solve…

Results(“objective”,i) = obj.l;

);

Display results;

Cheers
Renger


sent from my iPad

Am 21.07.2013 um 01:29 schrieb “Fatima_gms” :

Hi all,
I’m trying to run a NLP model for different water available.(Farm model)
I need some help through this matter that how can i use different solves in a loop. when i run my model it just give me one output. I need the output like this:for different water available I need to solve the model and at the end need the marginal value of this equation"const_CWAL ", such as like as following:
W=20 const_CWAL.m =?
W=40 const_CWAL.m =?



W=180 const_CWAL.m=?
At the end I’m going to draw W versus const_CWAL .m.

THANK YOU FOR YOUR HELP.

My codes are enclosed to this Post:


SETS
j crop type / A,B,C,D/

PARAMETER MY(j) Maximum crop yield[tons per hectare] /A 4.383,B 3.113,C 4.100,D 2.900/;
PARAMETER PR(j) Crop price [ per ton] /A 251.88,B 539.05,C 251.88,D 539.05/; PARAMETER PC(j) Production costs [ per ha] /A 1053.75,B 1205.50,C 1053.75,D 1205.50/;
PARAMETER MArea(j) Maximum area[ha] /A 10000,B 20000,C 4700,D 1230/;

SCALAR W water available/180/

PARAMETER Max_ET(j) crop water requirement(sum over one year)[m3 per ha]
/A 3000,B 5546,C 3444,D 5748/;

PARAMETER Ky(j) Yield response factor[-] /A 1.15, B 0.85,C 1.15,D 0.85/;
SCALARS SMArea total area[ha] /35930/;

VARIABLES
Obj Objective function(Profit-Net Revenue[$])
;

POSITIVE VARIABLE
Real_ET(j) Crop Water Allocated(Real evapotranspiration)[m3 per ha]
Xcrop(j) Number of hectar for each crop[ha]
Income Income [Dollar per hectar];

*upper bound for allocated water
Real_ET.up(j)=Max_ET(j);
Real_ET.l(j)= W;

Xcrop.l(j)=SMArea/card(j);

EQUATIONS
const_area(j) Area constraint
const_CWAL Allocated water constraint
Objective;

const_area(j)…Xcrop(j)=l=MArea(j);
const_CWAL…sum(j,Real_ET(j)Xcrop(j))=l= W1000000 ;
Objective…Obj=e=sum(j,MY(j)PR(j)Xcrop(j)(1-Ky(j)(1-Real_ET(j)/Max_ET(j))))-sum(j,Xcrop(j)*Pc(j));

MODEL Problem_crop_yield /All/;

SETS i /1*9/;
PARAMETER WW(i) total available water[million m3] /1 20,2 40,3 60,4 80,5 100,6 120,7 140,8 160,9 180/;

LOOP(i,
W=WW(i));
SOLVE Problem_crop_yield USING NLP MAXIMIZING Obj;

;
display Obj.l,const_CWAL.m;
****************************************************************************************************************************************************8


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Dear Dr.Frank Ward,
Thank you for your attachment, I will go through it to find any hint.
FAtim

On Saturday, July 20, 2013 9:56:32 PM UTC+4:30, Fatima_gms wrote:

Hi all,
I’m trying to run a NLP model for different water available.(Farm model)
I need some help through this matter that how can i use different solves in a loop. when i run my model it just give me one output. I need the output like this:for different water available I need to solve the model and at the end need the marginal value of this equation"const_CWAL ", such as like as following:
W=20 const_CWAL.m =?
W=40 const_CWAL.m =?



W=180 const_CWAL.m=?
At the end I’m going to draw W versus const_CWAL .m.

THANK YOU FOR YOUR HELP.

My codes are enclosed to this Post:


SETS
j crop type / A,B,C,D/

PARAMETER MY(j) Maximum crop yield[tons per hectare] /A 4.383,B 3.113,C 4.100,D 2.900/;
PARAMETER PR(j) Crop price [ per ton] /A 251.88,B 539.05,C 251.88,D 539.05/; PARAMETER PC(j) Production costs [ per ha] /A 1053.75,B 1205.50,C 1053.75,D 1205.50/;
PARAMETER MArea(j) Maximum area[ha] /A 10000,B 20000,C 4700,D 1230/;

SCALAR W water available/180/

PARAMETER Max_ET(j) crop water requirement(sum over one year)[m3 per ha]
/A 3000,B 5546,C 3444,D 5748/;

PARAMETER Ky(j) Yield response factor[-] /A 1.15, B 0.85,C 1.15,D 0.85/;
SCALARS SMArea total area[ha] /35930/;

VARIABLES
Obj Objective function(Profit-Net Revenue[$])
;

POSITIVE VARIABLE
Real_ET(j) Crop Water Allocated(Real evapotranspiration)[m3 per ha]
Xcrop(j) Number of hectar for each crop[ha]
Income Income [Dollar per hectar];

*upper bound for allocated water
Real_ET.up(j)=Max_ET(j);
Real_ET.l(j)= W;

Xcrop.l(j)=SMArea/card(j);


EQUATIONS
const_area(j) Area constraint
const_CWAL Allocated water constraint
Objective;

const_area(j)…Xcrop(j)=l=MArea(j);
const_CWAL…sum(j,Real_ET(j)Xcrop(j))=l= W1000000 ;
Objective…Obj=e=sum(j,MY(j)PR(j)Xcrop(j)(1-Ky(j)(1-Real_ET(j)/Max_ET(j))))-sum(j,Xcrop(j)*Pc(j));


MODEL Problem_crop_yield /All/;

SETS i /1*9/;
PARAMETER WW(i) total available water[million m3] /1 20,2 40,3 60,4 80,5 100,6 120,7 140,8 160,9 180/;

LOOP(i,
W=WW(i));
SOLVE Problem_crop_yield USING NLP MAXIMIZING Obj;

;
display Obj.l,const_CWAL.m;
****************************************************************************************************************************************************8

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Dear Renger ,
Thank you for your help.

On Sunday, July 21, 2013 10:11:41 AM UTC+4:30, Renger van Nieuwkoop wrote:

Hi

You only report the last solve result.
Define a parameter that will store your results before the loop and assign the results directly after the solve.

Parameter results(*,i) results of loops;

Loop(i,

Solve…

Results(“objective”,i) = obj.l;

);

Display results;

Cheers
Renger


sent from my iPad

Am 21.07.2013 um 01:29 schrieb “Fatima_gms” :

Hi all,
I'm trying to run a NLP model for different water available.(Farm model)
I need some help through this matter that how can i use different solves in a loop. when i run my model it just give me one output. I need the output like this:for different water available  I need to solve the model and at the end need the marginal value of this equation"const_CWAL ", such as like as following:
W=20    const_CWAL.m =?
W=40    const_CWAL.m =?
...
.....
.....
W=180  const_CWAL.m=?
At the end I'm going to draw W versus const_CWAL .m.

THANK YOU FOR YOUR HELP.

My codes are enclosed to this Post:
*****************************************************************************************************************************************************
SETS
  j  crop type   / A,B,C,D/

PARAMETER MY(j)  Maximum crop yield[tons per hectare] /A 4.383,B 3.113,C 4.100,D 2.900/;
PARAMETER PR(j) Crop price [$ per ton] /A 251.88,B 539.05,C 251.88,D 539.05/;
PARAMETER PC(j) Production costs [$ per ha] /A 1053.75,B 1205.50,C 1053.75,D 1205.50/;
PARAMETER MArea(j) Maximum area[ha] /A 10000,B 20000,C 4700,D 1230/;

SCALAR W  water available/180/

PARAMETER Max_ET(j) crop water requirement(sum over one year)[m3 per ha]
/A 3000,B 5546,C 3444,D 5748/;

PARAMETER Ky(j) Yield response factor[-] /A 1.15, B 0.85,C 1.15,D 0.85/;
SCALARS SMArea  total area[ha] /35930/;

VARIABLES
Obj Objective function(Profit-Net Revenue[$])
 ;

POSITIVE VARIABLE
Real_ET(j) Crop Water Allocated(Real evapotranspiration)[m3 per ha]
Xcrop(j) Number of hectar for each crop[ha]
Income Income [Dollar per hectar];

*upper bound for allocated water
Real_ET.up(j)=Max_ET(j);
Real_ET.l(j)= W;

Xcrop.l(j)=SMArea/card(j);


EQUATIONS
const_area(j) Area constraint
const_CWAL      Allocated water constraint
Objective;

const_area(j)..Xcrop(j)=l=MArea(j);
const_CWAL..sum(j,Real_ET(j)*Xcrop(j))=l= W*1000000 ;
Objective..Obj=e=sum(j,MY(j)*PR(j)*Xcrop(j)*(1-Ky(j)*(1-Real_ET(j)/Max_ET(j))))-sum(j,Xcrop(j)*Pc(j));


MODEL Problem_crop_yield /All/;

SETS i /1*9/;
PARAMETER WW(i) total available water[million m3] /1 20,2 40,3 60,4 80,5 100,6 120,7 140,8 160,9 180/;

LOOP(i,
      W=WW(i));
   SOLVE Problem_crop_yield USING NLP MAXIMIZING Obj;

;
display Obj.l,const_CWAL.m;
****************************************************************************************************************************************************8


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