数学建模论文选址优化 - 图文(6)

plot(o,':rh'),grid 程序14

>> x1=cumtrapz(data,2); o=data(14,:); t=x1(14,:);

pt=polyfit(m,t,2);

plot(m,t,'o',m,polyval(pt,m)) o=[o zeros(1,13)] for i=12:24

o(i)=(polyval(pt,i)-polyval(pt,i-1))*2-o(i-1); end

plot(o,':ch'),grid 程序15

>> x1=cumtrapz(data,2); o=data(15,:); t=x1(15,:);

pt=polyfit(m,t,2);

plot(m,t,'o',m,polyval(pt,m)) o=[o zeros(1,13)] for i=12:24

o(i)=(polyval(pt,i)-polyval(pt,i-1))*2-o(i-1); end

plot(o,':kh'),grid 程序16

>> x1=cumtrapz(data,2); o=data(16,:); t=x1(16,:);

pt=polyfit(m,t,2);

plot(m,t,'o',m,polyval(pt,m)) o=[o zeros(1,13)] for i=12:24

o(i)=(polyval(pt,i)-polyval(pt,i-1))*2-o(i-1); end

plot(o,':bh'),grid 程序17

>> x1=cumtrapz(data,2); o=data(17,:); t=x1(17,:);

pt=polyfit(m,t,2);

plot(m,t,'o',m,polyval(pt,m)) o=[o zeros(1,13)] for i=12:24

o(i)=(polyval(pt,i)-polyval(pt,i-1))*2-o(i-1); end

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plot(o,':mh'),grid 程序18

>> x1=cumtrapz(data,2); o=data(18,:); t=x1(18,:);

pt=polyfit(m,t,2);

plot(m,t,'o',m,polyval(pt,m)) o=[o zeros(1,13)] for i=12:24

o(i)=(polyval(pt,i)-polyval(pt,i-1))*2-o(i-1); end

plot(o,':bh'),grid 程序19 min

=(x1/((240+t1)*8))*(1700+2210*t1/240)+(x2/((240+t2)*8))*(1540+2002*t2/240)+(x3/((240+t3)*8))*(1510+1963*t3/240)+(x4/((240+t4)*8))*(1600+2080*t4/240)+(x5/((240+t5)*8))*(1640+2132*t5/240)+(x6/((240+t6)*8))*(1450+1885*t6/240)+476100*(2.97*Y11+5.59*Y21+9.3*Y31+15.2*Y41+15.62*Y51+14*Y61)+477300*(2.55*Y12+5.5*Y22+5.91*Y32+12.38*Y42+14*Y52+13.37*Y62)+481200*(1.16*Y13+4.7*Y23+6.95*Y33+13.13*Y43+14.15*Y53+13.06*Y63)+471800*(1.78*Y14+2.83*Y24+7.3*Y34+12.89*Y44+12.87*Y54+11.22*Y64)+557200*(3.925*Y15+2.57*Y25+3.58*Y35+9.45*Y45+10.44*Y55+9.79*Y65)+474000*(6.78*Y16+6.96*Y26+2.13*Y36+8.02*Y46+10.99*Y56+11.96*Y66)+448400*(8.5*Y17+5.65*Y27+10.44*Y37+12.89*Y47+9.87*Y57+6.41*Y67)+4374000*(6.37*Y18+2.87*Y28+7.69*Y38+10.71*Y48+8.34*Y58+6.18*Y68)+435300*(6.22*Y19+2.54*Y29+6.34*Y39+9.32*Y49+7.86*Y59+6.89*Y69)+425800*(7.45*Y1A+4.5*Y2A+4.26*Y3A+6.21*Y4A+5.75*Y5A+5.4*Y6A)+457200*(11.19*Y1B+10.77*Y2B+5.25*Y3B+3.82*Y4B+8.63*Y5B+11.43*Y6B)+512000*(8.45*Y1C+5.59*Y2C+9.41*Y3C+11.17*Y4C+8.23*Y5C+4.79*Y6C)+453100*(10.27*Y1D+7.34*Y2D+5.51*Y3D+3.83*Y4D+3.19*Y5D+4.89*Y6D)+463800*(9.36*Y1E+6.05*Y2E+6.82*Y3E+6.8*Y4E+4.13*Y5E+2.64*Y6E)+475400*(11.47*Y1F+12.51*Y2F+7.75*Y3F+2.66*Y4F+7.26*Y5F+10.81*Y6F)+453800*(12.7*Y1G+8.25*Y2G+11.22*Y3G+10.09*Y4G+5.64*Y5G+1.96*Y6G)+420100*(16.08*Y1H+12.8*Y2H+10.95*Y3H+6.1*Y4H+2.71*Y5H+5.81*Y6H)+410500*(17.13*Y1I+14.687*Y2I+11.28*Y3I+9.63*Y4I+6.32*Y5I+10.24*Y6I);

476100*Y11+477300*Y12+481200*Y13+471800*Y14+557200*Y15+474000*Y16+448400*Y17+437400*Y18+435300*Y19+425800*Y1A+457200*Y1B+512000*Y1C+453100*Y1D+463800*Y1E+475400*Y1F+453800*Y1G+420100*Y1H+410500*Y1I<=x1;

476100*Y21+477300*Y22+481200*Y23+471800*Y24+557200*Y25+474000*Y26+448400*Y27+437400*Y28+435300*Y29+425800*Y2A+457200*Y2B+512000*Y2C+453100*Y2D+463800*Y2E+475400*Y2F+453800*Y2G+420100*Y2H+410500*Y2I<=x2;

476100*Y31+477300*Y32+481200*Y33+471800*Y34+557200*Y35+474000*Y36+448400*Y37+437400*Y38+435300*Y39+425800*Y3A+457200*Y3B+512000*Y3C+453100*Y3D+463800*Y3E+475400*Y3F+453800*Y3G+420100*Y3H+410500*Y3I<=x3;

476100*Y41+477300*Y42+481200*Y43+471800*Y44+557200*Y45+474000*Y46+448400*Y47+437400*Y48+435300*Y49+425800*Y4A+457200*Y4B+512000*Y4C+453100*Y4D+463800*

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Y4E+475400*Y4F+453800*Y4G+420100*Y4H+410500*Y4I<=x4;

476100*Y51+477300*Y52+481200*Y53+471800*Y54+557200*Y55+474000*Y56+448400*Y57+437400*Y58+435300*Y59+425800*Y5A+457200*Y5B+512000*Y5C+453100*Y5D+463800*Y5E+475400*Y5F+453800*Y5G+420100*Y5H+410500*Y5I<=x5;

476100*Y61+477300*Y62+481200*Y63+471800*Y64+557200*Y65+474000*Y66+448400*Y67+437400*Y68+435300*Y69+425800*Y6A+457200*Y6B+512000*Y6C+453100*Y6D+463800*Y6E+475400*Y6F+453800*Y6G+420100*Y6H+410500*Y6I<=x6; Y11+Y21+Y31+Y41+Y51+Y61<=1; Y12+Y22+Y32+Y42+Y52+Y62<=1; Y13+Y23+Y33+Y43+Y53+Y63<=1; Y14+Y24+Y34+Y44+Y54+Y64<=1; Y15+Y25+Y35+Y45+Y55+Y65<=1; Y16+Y26+Y36+Y46+Y56+Y66<=1; Y17+Y27+Y37+Y47+Y57+Y67<=1; Y18+Y28+Y38+Y48+Y58+Y68<=1; Y19+Y29+Y39+Y49+Y59+Y69<=1; Y1A+Y2A+Y3A+Y4A+Y5A+Y6A<=1; Y1B+Y2B+Y3B+Y4B+Y5B+Y6B<=1; Y1C+Y2C+Y3C+Y4C+Y5C+Y6C<=1; Y1D+Y2D+Y3D+Y4D+Y5D+Y6D<=1; Y1E+Y2E+Y3E+Y4E+Y5E+Y6E<=1; Y1F+Y2F+Y3F+Y4F+Y5F+Y6F<=1; Y1G+Y2G+Y3G+Y4G+Y5G+Y6G<=1; Y1H+Y2H+Y3H+Y4H+Y5H+Y6H<=1; Y1I+Y2I+Y3I+Y4I+Y5I+Y6I<=1; Y11+Y21+Y31+Y41+Y51+Y61>=1; Y12+Y22+Y32+Y42+Y52+Y62>=1; Y13+Y23+Y33+Y43+Y53+Y63>=1; Y14+Y24+Y34+Y44+Y54+Y64>=1; Y15+Y25+Y35+Y45+Y55+Y65>=1; Y16+Y26+Y36+Y46+Y56+Y66>=1; Y17+Y27+Y37+Y47+Y57+Y67>=1; Y18+Y28+Y38+Y48+Y58+Y68>=1; Y19+Y29+Y39+Y49+Y59+Y69>=1; Y1A+Y2A+Y3A+Y4A+Y5A+Y6A>=1; Y1B+Y2B+Y3B+Y4B+Y5B+Y6B>=1; Y1C+Y2C+Y3C+Y4C+Y5C+Y6C>=1; Y1D+Y2D+Y3D+Y4D+Y5D+Y6D>=1; Y1E+Y2E+Y3E+Y4E+Y5E+Y6E>=1; Y1F+Y2F+Y3F+Y4F+Y5F+Y6F>=1; Y1G+Y2G+Y3G+Y4G+Y5G+Y6G>=1; Y1H+Y2H+Y3H+Y4H+Y5H+Y6H>=1; Y1I+Y2I+Y3I+Y4I+Y5I+Y6I>=1; x1<=80000000;

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x2<=80000000; x3<=80000000; x4<=80000000; x5<=80000000; x6<=80000000; End

程序运行结果如下：

Local optimal solution found.

Objective value: 0.4408828E+08 Total solver iterations: 37

Variable Value Reduced Cost X1 1906400. 0.000000 T1 0.000000 2109.948 X2 1878300. 0.000000 T2 0.000000 1883.191 X3 899800.0 0.000000 T3 0.000000 884.5690 X4 932600.0 0.000000 T4 0.000000 971.4583 X5 1283700. 0.000000 T5 …… 此处隐藏：3925字，全部文档内容请下载后查看。喜欢就下载吧 ……