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Instance csched1

Formats ams gms mod nl osil py
Primal Bounds (infeas ≤ 1e-08)
-30639.25785000 p2 ( gdx sol )
(infeas: 4e-09)
Other points (infeas > 1e-08)
-30639.25785000 p1 ( gdx sol )
(infeas: 2e-08)
Dual Bounds
-30639.25788000 (ANTIGONE)
-30639.25788000 (BARON)
-30639.25806000 (COUENNE)
-30639.25785000 (LINDO)
-30639.25785000 (SCIP)
References And, Vipul J and Grossmann, I E, Cyclic Scheduling of Continuous Parallel Units with Decaying Performance, American Institute of Chemical Engineers Journal, 44:7, 1998, 1623-1636.
Source modified MacMINLP model c-sched.mod with c-sched1.dat, GAMS Model Library model csched
Application Cyclic Scheduling of Continuous Parallel Units
Added to library 01 May 2001
Problem type MBNLP
#Variables 77
#Binary Variables 63
#Integer Variables 0
#Nonlinear Variables 8
#Nonlinear Binary Variables 0
#Nonlinear Integer Variables 0
Objective Sense min
Objective type linear
Objective curvature linear
#Nonzeros in Objective 1
#Nonlinear Nonzeros in Objective 0
#Constraints 23
#Linear Constraints 22
#Quadratic Constraints 0
#Polynomial Constraints 0
#Signomial Constraints 0
#General Nonlinear Constraints 1
Operands in Gen. Nonlin. Functions div exp mul
Constraints curvature indefinite
#Nonzeros in Jacobian 174
#Nonlinear Nonzeros in Jacobian 8
#Nonzeros in (Upper-Left) Hessian of Lagrangian 14
#Nonzeros in Diagonal of Hessian of Lagrangian 6
#Blocks in Hessian of Lagrangian 4
Minimal blocksize in Hessian of Lagrangian 2
Maximal blocksize in Hessian of Lagrangian 2
Average blocksize in Hessian of Lagrangian 2.0
#Semicontinuities 0
#Nonlinear Semicontinuities 0
#SOS type 1 0
#SOS type 2 0
Minimal coefficient 1.0000e-02
Maximal coefficient 4.1600e+05
Infeasibility of initial point 3.5e+04
Sparsity Jacobian Sparsity of Objective Gradient and Jacobian
Sparsity Hessian of Lagrangian Sparsity of Hessian of Lagrangian

$offlisting
*  
*  Equation counts
*      Total        E        G        L        N        X        C        B
*         23       13        3        7        0        0        0        0
*  
*  Variable counts
*                   x        b        i      s1s      s2s       sc       si
*      Total     cont   binary  integer     sos1     sos2    scont     sint
*         77       14       63        0        0        0        0        0
*  FX      0
*  
*  Nonzero counts
*      Total    const       NL      DLL
*        174      166        8        0
*
*  Solve m using MINLP minimizing objvar;


Variables  x1,x2,x3,x4,x5,x6,x7,x8,x9,x10,x11,x12,x13,b14,b15,b16,b17,b18,b19
          ,b20,b21,b22,b23,b24,b25,b26,b27,b28,b29,b30,b31,b32,b33,b34,b35,b36
          ,b37,b38,b39,b40,b41,b42,b43,b44,b45,b46,b47,b48,b49,b50,b51,b52,b53
          ,b54,b55,b56,b57,b58,b59,b60,b61,b62,b63,b64,b65,b66,b67,b68,b69,b70
          ,b71,b72,b73,b74,b75,b76,objvar;

Positive Variables  x1,x2,x3,x7,x8,x9,x10,x11,x12,x13;

Binary Variables  b14,b15,b16,b17,b18,b19,b20,b21,b22,b23,b24,b25,b26,b27,b28
          ,b29,b30,b31,b32,b33,b34,b35,b36,b37,b38,b39,b40,b41,b42,b43,b44,b45
          ,b46,b47,b48,b49,b50,b51,b52,b53,b54,b55,b56,b57,b58,b59,b60,b61,b62
          ,b63,b64,b65,b66,b67,b68,b69,b70,b71,b72,b73,b74,b75,b76;

Equations  e1,e2,e3,e4,e5,e6,e7,e8,e9,e10,e11,e12,e13,e14,e15,e16,e17,e18,e19
          ,e20,e21,e22,e23;


e1.. (-x13*objvar) - (416000*(1 - exp(-0.1*x1/x4))*x4 + 37440*x1 - 100*x4 + 
     124615.384615385*(1 - exp(-0.13*x2/x5))*x5 + 9000*x2 - 90*x5 + 
     278666.666666667*(1 - exp(-0.09*x3/x6))*x6 + 15840*x3 - 80*x6) =E= 0;

e2..  - 1300*x1 + x7 + 350*x13 =E= 0;

e3..  - 1000*x2 + x8 + 300*x13 =E= 0;

e4..  - 1100*x3 + x9 + 300*x13 =E= 0;

e5..    x7 - 300*x13 =L= 0;

e6..    x8 - 300*x13 =L= 0;

e7..    x9 - 300*x13 =L= 0;

e8..    x4 - 0.01*b14 - b15 - 2*b16 - 3*b17 - 4*b18 - 5*b19 - 6*b20 - 7*b21
      - 8*b22 - 9*b23 - 10*b24 - 11*b25 - 12*b26 - 13*b27 - 14*b28 - 15*b29
      - 16*b30 - 17*b31 - 18*b32 - 19*b33 - 20*b34 =E= 0;

e9..    x5 - 0.01*b35 - b36 - 2*b37 - 3*b38 - 4*b39 - 5*b40 - 6*b41 - 7*b42
      - 8*b43 - 9*b44 - 10*b45 - 11*b46 - 12*b47 - 13*b48 - 14*b49 - 15*b50
      - 16*b51 - 17*b52 - 18*b53 - 19*b54 - 20*b55 =E= 0;

e10..    x6 - 0.01*b56 - b57 - 2*b58 - 3*b59 - 4*b60 - 5*b61 - 6*b62 - 7*b63
       - 8*b64 - 9*b65 - 10*b66 - 11*b67 - 12*b68 - 13*b69 - 14*b70 - 15*b71
       - 16*b72 - 17*b73 - 18*b74 - 19*b75 - 20*b76 =E= 0;

e11..  - b14 - b15 - b16 - b17 - b18 - b19 - b20 - b21 - b22 - b23 - b24 - b25
       - b26 - b27 - b28 - b29 - b30 - b31 - b32 - b33 - b34 =E= -1;

e12..  - b35 - b36 - b37 - b38 - b39 - b40 - b41 - b42 - b43 - b44 - b45 - b46
       - b47 - b48 - b49 - b50 - b51 - b52 - b53 - b54 - b55 =E= -1;

e13..  - b56 - b57 - b58 - b59 - b60 - b61 - b62 - b63 - b64 - b65 - b66 - b67
       - b68 - b69 - b70 - b71 - b72 - b73 - b74 - b75 - b76 =E= -1;

e14..  - x1 - 2*x4 + x10 =E= 0;

e15..  - x2 - 3*x5 + x11 =E= 0;

e16..  - x3 - 3*x6 + x12 =E= 0;

e17..    x10 + x11 + x12 - x13 =L= 0;

e18..    x1 + 150*b14 =L= 150;

e19..    x2 + 150*b35 =L= 150;

e20..    x3 + 150*b56 =L= 150;

e21..    x4 =G= 1;

e22..    x5 =G= 1;

e23..    x6 =G= 1;

* set non-default bounds
x4.lo = 0.01; x4.up = 20;
x5.lo = 0.01; x5.up = 20;
x6.lo = 0.01; x6.up = 20;

* set non-default levels
x4.l = 1;
x5.l = 1;
x6.l = 1;
x13.l = 100;

Model m / all /;

m.limrow=0; m.limcol=0;
m.tolproj=0.0;

$if NOT '%gams.u1%' == '' $include '%gams.u1%'

$if not set MINLP $set MINLP MINLP
Solve m using %MINLP% minimizing objvar;


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