$offlisting * * Equation counts * Total E G L N X C B * 5 1 0 4 0 0 0 0 * * Variable counts * x b i s1s s2s sc si * Total cont binary integer sos1 sos2 scont sint * 4 4 0 0 0 0 0 0 * FX 0 * * Nonzero counts * Total const NL DLL * 12 6 6 0 * * Solve m using NLP minimizing objvar; Variables x1,x2,x3,objvar; Positive Variables x1,x2; Equations e1,e2,e3,e4,e5; e1.. - x3 + objvar =E= 0; e2.. exp(10*x1/(1 + 0.01*x1))*(0.0476666666666666 - 0.0649999999999999*x1) - x1 - x3 =L= 0; e3.. x1 - exp(10*x1/(1 + 0.01*x1))*(0.0476666666666666 - 0.0649999999999999*x1) - x3 =L= 0; e4.. exp(10*x2/(1 + 0.01*x2))*(0.143 - 0.13*x1 - 0.195*x2) + x1 - 3*x2 - x3 =L= 0; e5.. (-exp(10*x2/(1 + 0.01*x2))*(0.143 - 0.13*x1 - 0.195*x2)) - x1 + 3*x2 - x3 =L= 0; * set non-default bounds x1.up = 1; x2.up = 1; Model m / all /; m.limrow=0; m.limcol=0; m.tolproj=0.0; $if NOT '%gams.u1%' == '' $include '%gams.u1%' $if not set NLP $set NLP NLP Solve m using %NLP% minimizing objvar;