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Relatório do Lindo para Alguns Modelos da Lista Questão 1: Problema de Fluxo de Custo Mínimo Genérico No lindo: min 3x17+20x12+9x37+30x34+40x72+10x75+2x54+10x57+4x56+4x65+8x62 s.t. x12+x17<=50000 x37+x34<=60000 -x12-x72-x62<=-90000 -x34-x54<=-20000 x54+x56+x57-x75-x65=0 x65+x62-x56=0 x75+x72-x17-x37-x57=0 end Solução: LP OPTIMUM FOUND AT STEP 8 OBJECTIVE FUNCTION VALUE 1) 2660000. VARIABLE VALUE REDUCED COST X17 0.000000 5.000000 X12 50000.000000 0.000000 X37 60000.000000 0.000000 X34 0.000000 9.000000 X72 0.000000 18.000000 X75 60000.000000 0.000000 X54 20000.000000 0.000000 X57 0.000000 20.000000 X56 40000.000000 0.000000 X65 0.000000 8.000000 X62 40000.000000 0.000000 ROW SLACK OR SURPLUS DUAL PRICES 2) 0.000000 11.000000 3) 0.000000 0.000000 4) 0.000000 31.000000 5) 0.000000 21.000000 6) 0.000000 19.000000 7) 0.000000 23.000000 8) 0.000000 9.000000 NO. ITERATIONS= 8 No lindo: min x14 + 0.3x15 + 0.8x24 +4.3x25 + 2x34 + 4.6x35 + 0.5x45 + 3x56 +2.1x57 + 1.9x58 + 6x48 + 4.5x47 +0.2x46 st x14 + x15 <= 900 x24 + x25 <= 1400 x34 + x35 <= 1000 -x46 -x56 <= -1100 -x47 -x57 <= -1000 -x48-x58 <= -1200 x57 +x58 +x56 -x45 -x15 -x25 -x35 = 0 x45 +x46 +x47 +x48 -x14 -x24 -x34 = 0 x14>=0 x15>=0 x24>=0 x25>=0 x34>=0 x35>=0 x45>=0 x56>=0 x57>=0 x58>=0 x48>=0 x47>=0 x46>=0 end Solução: LP OPTIMUM FOUND AT STEP 10 OBJECTIVE FUNCTION VALUE 1) 8640.000 VARIABLE VALUE REDUCED COST X14 0.000000 1.200000 X15 900.000000 0.000000 X24 1400.000000 0.000000 X25 0.000000 3.000000 X34 1000.000000 0.000000 X35 0.000000 2.100000 X45 1300.000000 0.000000 X56 0.000000 3.300000 X57 1000.000000 0.000000 X58 1200.000000 0.000000 X48 0.000000 3.600000 X47 0.000000 1.900000 X46 1100.000000 0.000000 ROW SLACK OR SURPLUS DUAL PRICES 2) 0.000000 2.200000 3) 0.000000 1.200000 4) 0.000000 0.000000 5) 0.000000 2.200000 6) 0.000000 4.600000 7) 0.000000 4.400000 8) 0.000000 2.500000 9) 0.000000 2.000000 10) 0.000000 0.000000 11) 900.000000 0.000000 12) 1400.000000 0.000000 13) 0.000000 0.000000 14) 1000.000000 0.000000 15) 0.000000 0.000000 16) 1300.000000 0.000000 17) 0.000000 0.000000 18) 1000.000000 0.000000 19) 1200.000000 0.000000 20) 0.000000 0.000000 21) 0.000000 0.000000 22) 1100.000000 0.000000 NO. ITERATIONS= 10 No lindo: min 5x12 + 3x13 + x24 + 4x23 + 6x32 +2x36 + 9x45 + 4x47 +2x54 +8x57 +7x25 + x35 +5x34 +5x56 + 7x65 +3x63 + 3x67 st x12 + x13 <= 1 -x67-x57-x47 <= -1 x24 + x23 +x25 -x12 -x32 = 0 x34 +x32 +x35 +x36 -x23 -x63 -x13 = 0 x45 + x47 -x34 -x54 -x24 = 0 x57 + x54 +x56 -x25 -x45 -x35 -x65 = 0 x67 +x65 +x63 -x36 -x56 = 0 end Solução: LP OPTIMUM FOUND AT STEP 7 OBJECTIVE FUNCTION VALUE 1) 8.000000 VARIABLE VALUE REDUCED COST X12 0.000000 2.000000 X13 1.000000 0.000000 X24 0.000000 0.000000 X23 0.000000 4.000000 X32 0.000000 6.000000 X36 1.000000 0.000000 X45 0.000000 11.000000 X47 0.000000 0.000000 X54 0.000000 0.000000 X57 0.000000 2.000000 X25 0.000000 8.000000 X35 0.000000 2.000000 X34 0.000000 4.000000 X56 0.000000 2.000000 X65 0.000000 10.000000 X63 0.000000 5.000000 X67 1.000000 0.000000 ROW SLACK OR SURPLUS DUAL PRICES 2) 0.000000 0.000000 3) 0.000000 8.000000 4) 0.000000 3.000000 5) 0.000000 3.000000 6) 0.000000 4.000000 7) 0.000000 2.000000 8) 0.000000 5.000000 NO. ITERATIONS= 7 No lindo: min x14 + 0.3x15 + 0.8x24 +4.3x25 + 2x34 + 4.6x35 + 0.5x45 + 3x56 +2.1x57 + 1.9x58 + 6x48 + 4.5x47 +0.2x46 st x14 + x15 <= 900 x24 + x25 <= 1400 x34 + x35 <= 1000 -x46 -x56 <= -1100 -x47 -x57 <= -1000 -x48-x58 <= -1200 x57 +x58 +x56 -x45 -x15 -x25 -x35 = 0 x45 +x46 +x47 +x48 -x14 -x24 -x34 = 0 x45 <= 500 -x25 <= -200 x14>=0 x15>=0 x24>=0 x25>=0 x34>=0 x35>=0 x45>=0 x56>=0 x57>=0 x58>=0 x48>=0 x47>=0 x46>=0 end LP OPTIMUM FOUND AT STEP 10 OBJECTIVE FUNCTION VALUE 1) 10380.00 VARIABLE VALUE REDUCED COST X14 0.000000 3.100000 X15 900.000000 0.000000 X24 1200.000000 0.000000 X25 200.000000 0.000000 X34 1000.000000 0.000000 X35 0.000000 0.200000 X45 500.000000 0.000000 X56 0.000000 5.200000 X57 400.000000 0.000000 X58 1200.000000 0.000000 X48 0.000000 1.700000 X47 600.000000 0.000000 X46 1100.000000 0.000000 ROW SLACK OR SURPLUS DUAL PRICES 2) 0.000000 4.100000 3) 0.000000 1.200000 4) 0.000000 0.000000 5) 0.000000 2.200000 6) 0.000000 6.500000 7) 0.000000 6.300000 8) 0.000000 4.400000 9) 0.000000 2.000000 10) 0.000000 1.900000 11) 0.000000 1.100000 12) 0.000000 0.000000 13) 900.000000 0.000000 14) 1200.000000 0.000000 15) 200.000000 0.000000 16) 1000.000000 0.000000 17) 0.000000 0.000000 18) 500.000000 0.000000 19) 0.000000 0.000000 20) 400.000000 0.000000 21) 1200.000000 0.000000 22) 0.000000 0.000000 23) 600.000000 0.000000 24) 1100.000000 0.000000 NO. ITERATIONS= 10 Questão 2: Problema do Transporte No lindo Modelo: min 12x11+9x12+8x13+13x21+12x22+5x23+7x31+9x32+5x33+3x41+2x42+8x43 s.t. x11+x12+x13=10 x21+x22+x23=20 x31+x32+x33=10 x41+x42+x43=15 x11+x21+x31+x41=8 x12+x22+x32+x42=30 x13+x23+x33+x43=17 end Solução: LP OPTIMUM FOUND AT STEP 7OBJECTIVE FUNCTION VALUE 1) 315.0000 VARIABLE VALUE REDUCED COST X11 0.000000 5.000000 X12 10.000000 0.000000 X13 0.000000 6.000000 X21 0.000000 3.000000 X22 3.000000 0.000000 X23 17.000000 0.000000 X31 8.000000 0.000000 X32 2.000000 0.000000 X33 0.000000 3.000000 X41 0.000000 3.000000 X42 15.000000 0.000000 X43 0.000000 13.000000 ROW SLACK OR SURPLUS DUAL PRICES 2) 0.000000 3.000000 3) 0.000000 0.000000 4) 0.000000 3.000000 5) 0.000000 10.000000 6) 0.000000 -10.000000 7) 0.000000 -12.000000 8) 0.000000 -5.000000 NO. ITERATIONS= 7 (D) No lindo: min 12x11+9x12+8x13+13x21+12x22+5x23+7x31+9x32+5x33+3x41+8x43 + 50x42 st x11+x12+x13=10 x21+x22+x23=20 x31+x32+x33=10 x41+x42+x43=15 x11+x21+x31+x41=8 x12+x22+x32+x42=30 x13+x23+x33+x43=17 x42 = 0 end LP OPTIMUM FOUND AT STEP 6 OBJECTIVE FUNCTION VALUE 1) 430.0000 VARIABLE VALUE REDUCED COST X11 0.000000 15.000000 X12 10.000000 0.000000 X13 0.000000 6.000000 X21 0.000000 13.000000 X22 10.000000 0.000000 X23 10.000000 0.000000 X31 0.000000 10.000000 X32 10.000000 0.000000 X33 0.000000 3.000000 X41 8.000000 0.000000 X43 7.000000 0.000000 X42 0.000000 35.000000 ROW SLACK OR SURPLUS DUAL PRICES 2) 0.000000 0.000000 3) 0.000000 -3.000000 4) 0.000000 0.000000 5) 0.000000 -6.000000 6) 0.000000 3.000000 7) 0.000000 -9.000000 8) 0.000000 -2.000000 9) 0.000000 0.000000 NO. ITERATIONS= 6 Questão 3: Problema da Designação No Lindo: Min 4000x11 + 5000x12 + 4500x13 + 3800x21 + 4000x22 + 4000x24 + 3000x31 + 2000x33 + 4500x34 + 3500x41 + 4000x43 + 5000x44 s.t. x11 + x12 + x13 = 1 x21 + x22 + x24 = 1 x31 + x33 + x34 = 1 x41 + x43 + x44 = 1 x11 + x21 + x31 + x41 = 1 x12 + x22 = 1 x13 + x33 + x43 = 1 x24 + x34 + x44 = 1 end int12 Solução: LP OPTIMUM FOUND AT STEP 6 OBJECTIVE FUNCTION VALUE 1) 14500.00 VARIABLE VALUE REDUCED COST X11 0.000000 0.000000 X12 1.000000 0.000000 X13 0.000000 1500.000000 X21 0.000000 800.000000 X22 0.000000 0.000000 X24 1.000000 0.000000 X31 0.000000 0.000000 X33 1.000000 0.000000 X34 0.000000 500.000000 X41 1.000000 0.000000 X43 0.000000 1500.000000 X44 0.000000 500.000000 ROW SLACK OR SURPLUS DUAL PRICES 2) 0.000000 -1000.000000 3) 0.000000 0.000000 4) 0.000000 0.000000 5) 0.000000 -500.000000 6) 0.000000 -3000.000000 7) 0.000000 -4000.000000 8) 0.000000 -2000.000000 9) 0.000000 -4000.000000 NO. ITERATIONS= 6 (C) No lindo: (C) No lindo: Min 4000x11 + 5000x12 + 4500x13 + 3800x21 + 4000x22 + 4000x24 + 3000x31 + 2000x33 + 4500x34 + 3500x41 + 4000x43 + 5000x44 s.t. x11 + x12 + x13 <= 2 x21 + x22 + x24 <= 2 x31 + x33 + x34 <= 2 x41 + x43 + x44 <= 2 x11 + x21 + x31 + x41 = 1 x12 + x22 = 1 x13 + x33 + x43 = 1 x24 + x34 + x44 = 1 end int12 LP OPTIMUM FOUND AT STEP 5 OBJECTIVE FUNCTION VALUE 1) 13000.00 VARIABLE VALUE REDUCED COST X11 0.000000 500.000000 X12 0.000000 0.000000 X13 0.000000 2000.000000 X21 0.000000 1300.000000 X22 1.000000 0.000000 X24 1.000000 0.000000 X31 1.000000 0.000000 X33 1.000000 0.000000 X34 0.000000 0.000000 X41 0.000000 0.000000 X43 0.000000 1500.000000 X44 0.000000 0.000000 ROW SLACK OR SURPLUS DUAL PRICES 2) 2.000000 0.000000 3) 0.000000 1000.000000 4) 0.000000 500.000000 5) 2.000000 0.000000 6) 0.000000 -3500.000000 7) 0.000000 -5000.000000 8) 0.000000 -2500.000000 9) 0.000000 -5000.000000 NO. ITERATIONS= 5 Questão 4: Problema do Caminho Mínimo entre Dois Pontos No Lindo: Min 2x13 + 1x12+ 4x36+ 1x35+ 1x23 + 2x25 + 5x24 + 3x56 + 7x57 + 3x45 + 6x46 + 8x47 + 5x67 + 2x68 + 6x78 s.t x12 + x13 = 1 x23 + x25 + x24 - x12 = 0 x36 + x35 - x13 - x23 = 0 x45 + x46 + x47 - x24= 0 x56 + x57 - x35 - x25 - x45 = 0 x68 + x67 - x36 - x56 - x46 = 0 x78 - x57 + x47 + x67 = 0 -x68 - x78 = -1 end int15 Solução: LP OPTIMUM FOUND AT STEP 3 OBJECTIVE FUNCTION VALUE 1) 8.000000 VARIABLE VALUE REDUCED COST X13 1.000000 0.000000 X12 0.000000 0.000000 X36 0.000000 0.000000 X35 1.000000 0.000000 X23 0.000000 0.000000 X25 0.000000 0.000000 X24 0.000000 0.000000 X56 1.000000 0.000000 X57 0.000000 0.000000 X45 0.000000 6.000000 X46 0.000000 6.000000 X47 0.000000 20.000000 X67 0.000000 17.000000 X68 1.000000 0.000000 X78 0.000000 8.000000 ROW SLACK OR SURPLUS DUAL PRICES 2) 0.000000 -2.000000 3) 0.000000 -1.000000 4) 0.000000 0.000000 5) 0.000000 4.000000 6) 0.000000 1.000000 7) 0.000000 4.000000 8) 0.000000 8.000000 9) 0.000000 6.000000 NO. ITERATIONS= 3 (B) No lindo: Min 5x12 + x13 + 2x32 +7x24 +6x26 + 6x34 +7x35 +4x46 + 7x43+ 6x47 +5x56 + 9x57 +4x54 + 7x62 +2x67 +x25 s.t. x12 + x13 = 1 x26 + x24 + x25 - x12 -x32 -x62 = 0 x34 +x35 +x32 -x13 -x43 = 0 x46 +x47 +x43 -x54 -x24 -x34 = 0 x56 +x57 +x54 -x25 -x35 = 0 x67 + x62 -x56 -x46 -x26 = 0 -x67 -x57 -x47 = -1 end int15 Solução: LP OPTIMUM FOUND AT STEP 6 OBJECTIVE FUNCTION VALUE 1) 11.00000 VARIABLE VALUE REDUCED COST X12 0.000000 2.000000 X13 1.000000 0.000000 X32 1.000000 0.000000 X24 0.000000 5.000000 X26 1.000000 0.000000 X34 0.000000 2.000000 X350.000000 4.000000 X46 0.000000 0.000000 X43 0.000000 11.000000 X47 0.000000 0.000000 X56 0.000000 0.000000 X57 0.000000 2.000000 X54 0.000000 3.000000 X62 0.000000 13.000000 X67 1.000000 0.000000 X25 0.000000 0.000000 ROW SLACK OR SURPLUS DUAL PRICES 2) 0.000000 -3.000000 3) 0.000000 0.000000 4) 0.000000 -2.000000 5) 0.000000 2.000000 6) 0.000000 1.000000 7) 0.000000 6.000000 8) 0.000000 8.000000 NO. ITERATIONS= 6 Questão 6 Min 1x01 + 2x02 + 3x14 + 4x04 + 5x06 + 6x05 + 7x23 + 8x34 + 9x26 + 10x37 + 11x46 + 12x25 + 13x49 + 14x79 + 15x67 + 16x65+ 17x58 + 18x511 + 19x610 + 20x78 + 21x710 + 22x810 + 23x811 24x1011+ 25x815 + 26x910 + 27x912 + 28x915 + 29x1215 + 30x1013 + 1x1113 + 2x1312 + 3x1315 + 4x1115 + 5x1314 + 6x1114 + 7x1415 s.t. x01 + x02 + x04 + x06 + x05 = 1 x14 - x01 = 0 x26 + x25 + x23 - x02 = 0 x37 + x34 - x23 = 0 x49 + x46 - x14 -x04 - x34 = 0 x58 + x511 -x05 -x25 - x65 = 0 x68 +x610 +x67 -x06 - x46 - x26 = 0 x710 + x79 + x78 - x37 - x67 = 0 x915 + x912 + x910 - x49 - x79 = 0 x1011 + x1013 - x810 - x610 - x710 - x910 = 0 x811 + x815 +x810 - x58 - x78 = 0 x1113 + x1115 + x1114 - x1011 -x811 - x511 = 0 x1215 - x912 - x1312 = 0 x1315 + x1314 + x1312 -x1013 - x1113 = 0 x1415 -x1314 -x1114 = 0 -x1215 - x915 - x1315 - x815 - x1115 - x1415 = -1 end int15 LP OPTIMUM FOUND AT STEP 5 OBJECTIVE FUNCTION VALUE 1) 28.00000 VARIABLE VALUE REDUCED COST X01 0.000000 0.000000 X02 0.000000 0.000000 X14 0.000000 17.000000 X04 0.000000 17.000000 X06 0.000000 15.000000 X05 1.000000 0.000000 X23 0.000000 0.000000 X34 0.000000 30.000000 X26 0.000000 21.000000 X37 0.000000 31.000000 X46 0.000000 8.000000 X25 0.000000 8.000000 X49 0.000000 0.000000 X79 0.000000 2.000000 X67 0.000000 17.000000 X65 0.000000 0.000000 X58 0.000000 15.000000 X511 1.000000 0.000000 X610 0.000000 0.000000 X78 0.000000 0.000000 X710 0.000000 0.000000 X810 0.000000 21.000000 X811 0.000000 7.000000 X1011 0.000000 9.000000 X815 0.000000 5.000000 X910 0.000000 17.000000 X912 0.000000 28.000000 X915 0.000000 0.000000 X1215 0.000000 0.000000 X1013 0.000000 14.000000 X1113 1.000000 0.000000 X1312 0.000000 28.000000 X1315 1.000000 0.000000 X1115 0.000000 0.000000 X1314 0.000000 9.000000 X1114 0.000000 9.000000 X1415 0.000000 0.000000 X68 0.000000 0.000000 ROW SLACK OR SURPLUS DUAL PRICES 2) 0.000000 10.000000 3) 0.000000 11.000000 4) 0.000000 12.000000 5) 0.000000 19.000000 6) 0.000000 -3.000000 7) 0.000000 16.000000 8) 0.000000 0.000000 9) 0.000000 -2.000000 10) 0.000000 10.000000 11) 0.000000 19.000000 12) 0.000000 18.000000 13) 0.000000 34.000000 14) 0.000000 9.000000 15) 0.000000 35.000000 16) 0.000000 31.000000 17) 0.000000 38.000000 NO. ITERATIONS= 5 Questão 8: Problema do Fluxo Máximo (Caminho de Aumento) No Lindo: Max x48 + x68 + x78 s.t. x12+x13+x14-x48-x68-x78=0 x23+x24-x12=0 x36+x35-x13-x23=0 x48+x46-x24-x14=0 x57-x35=0 x67+x68-x36-x46=0 x78-x57-x67=0 x12<=12 x13<=11 x14<=3 x23<=2 x24<=9 x36<=5 x35<=9 x57<=10 x46<=3 x48<=10 x67<=4 x68<=6 x78<=6 end Solução: LP OPTIMUM FOUND AT STEP 2 OBJECTIVE FUNCTION VALUE 1) 22.00000 VARIABLE VALUE REDUCED COST X48 10.000000 0.000000 X68 6.000000 0.000000 X78 6.000000 0.000000 X12 11.000000 0.000000 X13 8.000000 0.000000 X14 3.000000 0.000000 X23 2.000000 0.000000 X24 9.000000 0.000000 X36 4.000000 0.000000 X35 6.000000 0.000000 X46 2.000000 0.000000 X57 6.000000 0.000000 X67 0.000000 0.000000 ROW SLACK OR SURPLUS DUAL PRICES 2) 0.000000 0.000000 3) 0.000000 0.000000 4) 0.000000 0.000000 5) 0.000000 0.000000 6) 0.000000 0.000000 7) 0.000000 0.000000 8) 0.000000 0.000000 9) 1.000000 0.000000 10) 3.000000 0.000000 11) 0.000000 0.000000 12) 0.000000 0.000000 13) 0.000000 0.000000 14) 1.000000 0.000000 15) 3.000000 0.000000 16) 4.000000 0.000000 17) 1.000000 0.000000 18) 0.000000 1.000000 19) 4.000000 0.000000 20) 0.000000 1.000000 21) 0.000000 1.000000 NO. ITERATIONS= 2
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