📄 gatbxa0.ps
字号:
1F0780FFFC017FF0803FFE20E0F83F87C0FFC07F7F0FF"9"<'J"8":%:%<"8"="B"8#C00FF807001FFFFE:C280C00FFC607FFFF07F838100F0F81FJ$@#D$>#;%<"8"@"8$9'<02003FF803C01F8607F03FFFC0FF8003F87FFFE00FF01FFFF03FG"?%8"J#8"8(9$9#9$8-:"8%3FFC00007F018001E0080FFE00001E03F0FFF01E0073FFC07F8007FFFFE000000003FE03FC007FFC07FF"8"@$>#D(8'9$8*8&:/80F0FFFFFCF007E0003E0020000707F00003E001000007F800001FFF0000001F000001FFC0380001FFF0FFF8000010003801FFG"A"9"J&9%<"="8$J#7F010397E00000003F80007C00F807FFFFE40007F"9"<$8"?"D&;%9"8"='C":"8"001FFE0003F80FF801FE0020FE000FE0FC7FE00001FFFFFFF91E1FJ"9"="E#T%8%8Q#9W9(=0707E0FE07F03FFFFFFFC007FF003FFFFFFFFFC000FFG"A"8"?"D#?#;#?#F";#FF0FF01FFFFFFFFFFFFFFFFFFFFFFFE"C"9"="FE1F0FC0F"9"<$8"?"010FFF003FE03FE"C"A"FC7F80J#8#>"<01FFC01F7FF"8"J"03F8500E#A"9#<$F80787803FFE00FFE":"="F0078FJ"9#<#<9F007FFC01F"A"0FFFE"9"C"<#E0FCFFF803F"9"@"1F03FEE"F"=#C001F007I#@"FE01FCE#E"=#803F03E00FJ"@"400F8E#8"J#007FFF4C01FJ"@"57F07F"D">#FFF0803FJ#@"4803F0FD#;"?">#FE011FE0007FJ#@"4C00F1FD#E"?"FC03C0FFJ#G"4E007FED#:#@"="F807F0033F01J"?"="50180FCD#:#>$="F00FF800FE007F03J$=">"J#J$4FC007FF8F89FE01KF8007FD#:$=$="J*959$8$E01FFE001FF000FF078800001FFE7FFF887FB9E1FF840FFFE00003C0120000003C00000007FFFC0AFF000F3F0FFC3F800001D";$=">"?)9/9+=)9#8&C0FC000FC0F0E0000000001C000F00003FFFFC0000001FC000008001E000040000000001C000007FFC000000001F0000FC0000001FE":$="?"J"9":"@"@";"="9"3FF80007000F7F00300033F0FE003D"="<$="?":$908%:":-9)8001FC0001E0F81F8007F003FFFF803FFF8007FF001FFC007FFF80FFF0FF3FF0007C000FFFF801FFE007F80FFFFF803FFFC0E":$<"@">%8#9#8%8&9'8+8%9)7FF00000F81FFF800FFCF003FC0F00FFFFF0807FFF003FC1FFF807FFFE807FFFE03FF807FFC00703FFF003FC1FFFFE01FFFFF8D";"8";$="A$8"9&8"@":#:#9%@#8#00E03FC00003C07FFFF801FE1FFFFC03FEC3FFC3FC7FF003FFFCFC07FE07E";$:#@"?"8%<#8"<"D":#8"8"9"8#8#FF080007FE003FC0FE3FF800F80FFF1FFEFC010701FEF00FFF87C"<%:"8"="J#9";"I"<":%FEC01C0000F807807F01F870FFE003FFFE01FC"<#8"9"A"F";#?"J";#9"FC801F1F807F7FE03F07;7FC03FC7D"<%8&="G";#9";"?"?"=";#013F800001F80000100F003FC07FCF03C7FF3F807F:$<#;)8"?"F";#>#J";#;#FE0001F803003FE0000007B80060FF1F80FF0801400801F00FF:%C#8#9"="G"<"G";$8"E":"F800007F7FF00000E0FEC0010FFFFFFC0F01CF:"8";#:%<$J#:"@#?"8'>#:#C007F007FE00FFFC03E01F8600FFE0C00FF7FFFFFFFF807C00FFE039#8";";"8"<#=#C&;"?$;"I#:"FE0001E0FCFF1FC0FC01FFFFF87007030E007F07E007FC9"9#;";"8";$J":";":"J";#;":"F8007F0F01F07FC03F903FCFF0F501F00307FF9":":#:#8":$=#F#;"@#J#:"F01FC01FF803FE03FF80F803780107803F9F801F89":":";#8#9"8"J#:"B"J"E00780F007FF803F7F87C00F81F9FC9':#:#9(=#F$:"@#=#:":#;$9#80003FE00001003FE00FFF80003FFFFF00F0077E007F0FE00FFC7FC7FE03FE007FF00F9';":";$9"="C"8$9"A#J$0001FFFF00007FC0FFFFFFFF0FE77F003FF0F0079FF003F8$8$8"="G"J";":%FE0007C0007FFE1FE0J0FFF0FFFFC078$8$8$:#J#E#A"<#<#9"FC003FF0003FFC00FF803FD801FF8037FF80F801FE08$8$9";"?#=#G#9"A#F%<#:"F0007FFC001F0100FE01C01FC00FE0FC0107FFF01FC00F1F9#8$8";$H"C"9#:"@#>"=%<#01FFFF0007F8FE007F3FC7E0071FFE00FF0FFFE03FE0078#:"9#<">#="H#E$<";":#<"E00380F003FFFC0380F003FF007FF88F807FF08#:#8#:"J"C"9"J$9$9$="C007E003E007FC47F87F8700000000000F4001FF038#:#8#:#?#="B$:"F#E$=#800FF001C00FF801F8070000000701803F0E0007F8019":#>#G$G#G"E$=#1FF800F003FE00FFFC001F0F007FFC008#:"9#J$E#B":"="003FFC801FKFE007FC00F073FFE9":':#?#<#H$E#:$9$8$=$7FFE007FFF003FE007F00FFC01FF003FE00707FFF07FFF8707C01FFF007F9":"8"<#J$:":"A";$9$8$?"FFFFFEC00F?7FFFC7800FF00FFFF8FFFFCF0FC00F3F7"=&E#="J"F"<"9";"?#9"FE803FFC007FE01F0341F03FC7FE0801F0F8"<#8":#G"J#E#@$9#>#01C01FFF801FF84C00FF801FFFFC7F007C00F7"?#;#G#D":#E#:"8"8";#>#<$FCF801003FF007E7E007FC00077F7FF803E007F83FF08"<%:$?#J#<$<$9"B">">$03E00FF003FE007FC03F;F003F80000FE007F0F01F000007F?$;"I#G";"B"G"@"8"F00FE0FCE00FFFF0FFFC03F07#=$:$?#J#9"8$>";#8$9#>#9"8%F80707C007F800FF807F;F80107FFC0033FFFFFFFFFFFFE00F80107FFF803FF?%;"H#D":#=#=#G"=$<"F807800F01C01FFFFC00F807801F7FFC00FCFCA#:#J">">#E"?$001FF003GFEFCC00FFFFE007E?%:#@#<#I'B"G#A#FC02003FE00700FF803FFF007E1FF803E0803FF8038"=$:#J"F"F#=$0F00007FC00FI3E07C01FFF003E7"@":"@">#J"8#B#J"8#F0FF80FE007F480FC01F003:80FC01?$;#@"J":#E#<";"9#>#FE0001001F018CFC01EF801F19FE00FC01EA"<"G$E":&B#B"9#>&033FFE00FF8FE00E1FFE00FC001FF007E00E3FFE00A":$?"J#9"A"G#>#9"07FE007FFC>F0067FFEF803F0067F?$:"B"<#J"E"A"D&FF000FFC03FC018FF433F023FFF003FA":$?"=#J#8#A$E#>#8#1FF800FFF8F8035F802803FFF0003FC01F800801FA":#A"J":#8#B"<"?#>"9#3FF0010781FFC00C00F80E1FE00FCC00FA":#H"J"9#B"<":"<"="9#7FE003F06FEE007C0E3FE7FFEE0077"?":#@">"H"<#B"D$8"<"9#F8FFC007F0077FF003E007FFFFF8FFF0018"=";#A"<#B"8$9"9#B"8"9$8$9'=&0703800F0FE00F80FE1FF0FFF800F0F083FF00F83FF0803FF803FFE0FC007FFFF8@";#@"J"<"8&:#=-9'9"8&07001FE08F880FC003FFFF0FE0700000003FE000000003FE0030FF001FFC07F80FE000FFFE0@":$H#B(<-8%:":'`"<'0FFE003FC01F000000001FC01FFF0003FF8007E0000180001FF803FE00C03800000FFFC001FF800070000F@":$A"I":$9"9);"G"?"9&9FFC007F1FF01C0000C0C00000007FC00000FCE0C0F0000000FF@"<"@"=#A"@#8"8#@"J"9"8"BFFFC0803FE0E03FF001FFFC9E0FC077#=":#B"J"8$9#8"8"R8#Z9"9%FC03FFF0013F520BC3FF1F01FFE3FFF837FCFFC000FFE#A"=#AS9#8%@"J#9#E00380007FFF9FFFFC0FFFFF:FFFFFFFF8"B#B";$J"9#0180077FFE00FF7FFFFFF7"C#FE000FF"A#;#1F00FFFC018"A$I"00FE003F037$@$@"="FF007FF8007FFEF8F"A"<#FF01F0078#@#803FE001D#A"=#C003FCE00F8#@#B"C01F000F039"?$I#0FFE001FC01F8"@$A"E0FC003FF89"?$B"<#07F0007F07803F8#?$A"="F003E000FFF0008#?#C"="F801C0010F7F8#?#J"FC0000035FF:"=$B"<"7FFE0007E0FE8$=$C"<"FE003FF8001F1F018$=$B"<"FF001FE0003FC0FC9#=$C";#80078000FF3FF8039#<$J"C003FE00015079#<$C"<"E000F8000780F09$;$D";#F0003FE0000F7FE00F9$;$F8001F80001F9$:%C"<#FC0003FC00007F00C01F9%9%D"<"FF00007FE00001FFFF3F:$8%C"="800007FE000007FE80:'8"D"<#E000001FFFC01F01007F:"8$8"C"F00000007FFC:"<#D";$FC01FF03FE00FF:"<"FF0F;";"D"<#C03FF8FC01;":#E";"F801FF07F8;":"E"="FF0FF003<"9"F";#F0FF0FF007<%F"<"FFF0007FE0E0=$J"FFFFFF80FJ";";1FC0J"=":C01FJ";#;3F803FJ#:$:807FFE007FJ"=":00FFJ":"J";FFFCO#87J"J#<%:#85A01?F81F87FFF87FFE07<801FE3F1FE3E1C1C0007800001C00000E001E000007C003FFF800007J"<#F58":"8*="A"9FEF80389F1C7E38B8FF803800001F00001FFFC003F000F000000C07FFFCFE0007C001FE001C000101J";"@->'9%;5:01F00007F801C03FFF801C00380007FF8781FE031E03FFF0AF8E7FFFC7F87FC1FFFC1FFC1FF0FF83FC1FC1FE1FE0FFE1FF07FC3FFFFF07FC03FJ"="?5;'9"9"8"8$8#;#9FC07AE07FFF0FFC1FFFF1FFC1FF07FFF1FF87FE3FF0FF03FF1FE1FF07F3F83F9F81FFF1F9FFFFF87FC7E1CFF9F9FE1FFEFFFC1FJ";"@"8(<"9'8&;"9#@"="<#:03E0F09FFC0FFFF9FFC3FF83FE3FF1FF0F7F9FC1FFE3F1FFE7FBFCFE0FJ"<#@"9";$<%:&>"J"<#9F8C00FFF0787FFF3C1FC7FF93FDFE0FFE7F14FEFF07J"<"D";$E%;"J":071F0383FFE39FF0FFC7E1?83J"<#D";"?"=%>$="8"8":"9F0803F83C3F8FFF87F8FE1FFFFFFFFFFFFJ";"E";$9"8"8"8":#J":0F00C1C1FFE7FFE1FFFF3F9FEC3J"="D"="<"?"J"9E07FE0C7C1FCGC1J":$E":$<"@#8#:"?"8"8":":1FFE00FF7FE1FFCFC31F3FFC03E03FE7F7F3J";"F#:":";"=$8)9C0FCF03FE0FE3FFE1E7FF000FFC00FFFF07FJ";"E";$<$>"9%9$J":3F01F8F0FF8F87FC1F0EE1F07F801FFFFE9E1J";#E#<"8"8&<$859#:"980F803FC1F9FFCFE1FFC003FFF0CFF7C7FC3FE1FFFFF8003FFE000001FFC0007FF8000FFE00070003F8J":"F#<%8(;"9";$A":7FF0FE0F1FFF8000C03FFE0007FF078487FC000FFCJ"<"A"9#:$;&="9$9(;"8":#900077FFF07F87F3FC1FFFF8001818FFE1FFF0003FC1FFFE1021D0FC3J":"B":">#8"8#="9"<"<#8&9#:FFE0FF0383F8E0E000C10FF8E1FF3FEFFC1FF71FF3J"A":":#8#9$C";$:$8"E"@0F7F81FC3E87FE7FFFFFFFFF01FEC1FF3FE7C1J#;#A":"<";"9#B";#:"J"8FE01C01FFFC17FF0E07F0FC1FCE14C3J"<"G":"=#8"="A#:$8"8":"8FC80E0FEF83FF0E1E1FEC1FF7FFFFFFFJ";#F#:#8"8#8$J"H"903003FF0791CFFFFFC1FF87F0F9FF83J"="J";"<"J"8"8F87FIC11FFC6F087J":"H#9#<#J"8"<"A"8#8"907FEF839FF18FE0F4F7FEF73FF3F807J";$A":#:":&8#?";$I"8"9"8F0FC00FF7FFC1909DFF0FF07FDFF0707F3FFE37FF70FE$<#;"A"8"8#:"=#?"9$C#8"@"8#FC000FE00F01F81FFE090183FCE187FF3FE7FCFEE7FE1FE$=":"E"8#:":"8"8"A#<";"8"?"<#C000001FF83FFF01839F81F183FEC7E1F8FEF83FE"8";";#B#G"@"9$9%:";"9"=%001FC0F0033FFEC0C1C3FE7FF1FF8FFCC1FC0FF07FE07FD"9"<";"A%9$@%A#:5F8073F07FC1FFC7F81FFC1E0FC7FC3E1FC>F07E1FFC0FFFC0FF800007F01FFFF80FFFFC0FFC00007F800007E00001FFD"9";";"C*8"838&8)8*9"8$E00080E003E0FFFC7FFFC1FF81C700001FC03FF03C0F0FF800FFC003FFFE003FF011FE003F007FE001FE001E00C003FFC001FFE001F000C0000FD":":#:#A'8$9"9+9"9%8#ZC07F007FC00FFE0001FFC00FFC003FFC000FF01C001FF0007F8032F803FF3FFC01;D":";":#A.T"U8S001FFF801FFFC007FFFFFFFFF1FFFFFFFFCFC3C";"9"="B#:":"?"FE07FE3FFFFFFFFFFFC(9"<"FC0003FFF00003FC00C(9#<"F8003FFFFF0001F8017FC$8#:":$F000FFC00003FE00FFC#9$8";"E001F0007FF0FCC#9$8#:#8007FE003FE007F801D"9$8#;"0FFF001FC00F03C#:#8#:#003FC00F801FF007B$:#9":#FE007FE0073FE00FD":#8";"FFF00300C0B"<':#FCF801FFFE007F801FC";';"01FC00FFFC00FF3FB#;"8#;#F803FEF801007FI%;$FF007FF0FE00FFB#>#:"F007E003FCJ$53FE007C"<%:#0F803FC00FF801B"=%:#E0C01F001FF003C"<%:#1FE01E003FE007J$:#50E007FC00FJ%:"4F00C00FF80J#<"500011FC">";#3F03003FB"="<$C0F8FE007FJ":$60FFC00FFB"?":#E01FF801B"="<"C0FCF0J":#67FE003J":#6FFC007J";#501800FB">";#E003001FC"<#:$1FFE07FE003FJ":$50FFC007FJ":$51FF800FFJ";"57F01C"=":#0FFFF003B"=";#F0FFC007J#:800FC"B"0700B"B$F8FE001FJ$9FC003FC"A$03F800FFB#A#FC01F001J#9E003B#A#FE008007D"@#7F001FB"A$FFFC003FC#?$803FF8007FD"?$1FF000FFC#?#C00FC001C#?#E0078007D">$03FE000FC#>$F001FC001FC#>$F800F0003FC$=$FC007FE000FFC$=#FE003F8001C$<$FF000FFE0003E"<$07F80007D#<$C003E0001FD$;$E0007F00007FD$:%F0001FF80001FFD$:$F80003E00003D%8%FE00003FFE00000FD"8"8"8"FF03C03FE"`8"80FFE"<"E003E"<"FC1FE"<"FF7FF":#E003FFF":"FC1FF#8#FF8001FFG"8"FE7FG%FFFFFFFFENDBITMAP%%EndBinary354.2 96.95 531.65 255.98 C63.65 96.95 531.65 744.95 C72.65 96.95 234.65 162.95 R7 X0 KV0 12 Q0 X(V) 72.65 154.95 T(ersion 1.2) 79.98 154.95 T0 24 Q(User) 72.65 112.95 T(\325) 118.82 112.95 T(s Guide) 125.49 112.95 T63.65 551.95 441.65 740.95 R7 XV0 40 Q0 X(Genetic Algorithm) 99.65 714.29 T63.65 626.03 441.65 636.03 C63.65 635.03 531.65 635.03 2 L1 H2 Z0 X0 KN63.65 96.95 531.65 744.95 C0 70 Q0 X0 K(T) 99.65 651.22 T(OOLBOX) 141.15 651.22 T0 20 Q(For Use with M) 248.68 613.03 T0 17 Q(A) 375.83 613.03 T(TLAB) 386.21 613.03 T1 14 Q(\322) 430.59 619.83 T-8.35 24.95 603.65 816.95 CFMENDPAGE%%EndPage: "1" 2%%Page: "2" 2595.3 841.9 0 FMBEGINPAGE2 10 Q0 X0 K(Genetic Algorithm Toolbox User\325s Guide) 63.65 61.61 T3 28 Q(Acknowledgements) 63.65 726.29 T0 12 Q2.62 (The production of this T) 135.65 692.95 P2.62 (oolbox was made possible by a UK SERC grant on) 262.55 692.95 P-0.01 (\322Genetic Algorithms in Control Systems Engineering\323 \050GR/J17920\051. Many thanks) 135.65 678.95 P0.65 (are due to Hartmut Pohlheim, a visiting researcher from the T) 135.65 664.95 P0.65 (echnical University) 437.4 664.95 P0.25 (Ilmenau, Germany) 135.65 650.95 P0.25 (, for the support for real-valued genetic algorithms and his hard) 225.04 650.95 P0.2 (work in coding and revising many of the routines in this T) 135.65 636.95 P0.2 (oolbox. Thanks are also) 416.47 636.95 P(due to Carlos Fonseca for providing the initial prototype for this T) 135.65 622.95 T(oolbox.) 452.95 622.95 TFMENDPAGE%%EndPage: "2" 3%%Page: "3" 3595.3 841.9 0 FMBEGINPAGE2 10 Q0 X0 K(Genetic Algorithm Toolbox User\325s Guide) 63.65 61.61 T3 28 Q(T) 63.65 726.29 T(able of Contents) 79.75 726.29 T(1 T) 63.65 686.29 T(utorial) 100.75 686.29 T0 12 Q(.....................................................................................................) 183.54 686.29 T(1-1) 486.65 686.29 T(Installation) 135.65 656.95 T(..................................................................................................) 192.54 656.95 T(1-2) 486.65 656.95 T(An Overview of Genetic Algorithms) 135.65 636.95 T(.........................................................) 315.47 636.95 T(1-3) 486.65 636.95 T(What are Genetic Algorithms) 171.65 620.95 T(.........................................................) 315.47 620.95 T(1-3) 486.65 620.95 T(GAs versus T) 171.65 604.95 T(raditional Methods) 237.18 604.95 T(....................................................) 330.46 604.95 T(1-5) 486.65 604.95 T(Major Elements of the Genetic Algorithm) 135.65 584.95 T(................................................) 342.45 584.95 T(1-6) 486.65 584.95 T(Population Representation and Initialisation) 171.65 568.95 T(..................................) 384.43 568.95 T(1-6) 486.65 568.95 T(The Objective and Fitness Functions) 171.65 552.95 T(..............................................) 348.45 552.95 T(1-8) 486.65 552.95 T(Selection) 171.65 536.95 T(.........................................................................................) 219.52 536.95 T(1-9) 486.65 536.95 T(Roulette Wheel Selection Methods) 207.65 520.95 T(....................................) 378.43 520.95 T(1-10) 486.65 520.95 T(Stochastic Universal Sampling) 207.65 504.95 T(..........................................) 360.45 504.95 T(1-12) 486.65 504.95 T(Crossover) 171.65 488.95 T(........................................................................................) 222.52 488.95 T(1-12) 486.65 488.95 T(Multi-point Crossover) 207.65 472.95 T(.........................................................) 315.47 472.95 T(1-12) 486.65 472.95 T(Uniform Crossover) 207.65 456.95 T(............................................................) 306.48 456.95 T(1-13) 486.65 456.95 T(Other Crossover Operators) 207.65 440.95 T(.................................................) 339.46 440.95 T(1-14) 486.65 440.95 T(Intermediate Recombination) 207.65 424.95 T(...............................................) 345.45 424.95 T(1-14) 486.65 424.95 T(Line Recombination) 207.65 408.95 T(...........................................................) 309.47 408.95 T(1-15) 486.65 408.95 T(Discussion) 207.65 392.95 T(..........................................................................) 264.5 392.95 T(1-15) 486.65 392.95 T(Mutation) 171.65 376.95 T(.........................................................................................) 219.52 376.95 T(1-16) 486.65 376.95 T(Reinsertion) 171.65 360.95 T(......................................................................................) 228.52 360.95 T(1-18) 486.65 360.95 T(T) 171.65 344.95 T(ermination of the GA) 178.14 344.95 T(...................................................................) 285.49 344.95 T(1-18) 486.65 344.95 T(Data Structures) 135.65 324.95 T(...........................................................................................) 213.53 324.95 T(1-20) 486.65 324.95 T(Chromosomes) 171.65 308.95 T(.................................................................................) 243.51 308.95 T(1-20) 486.65 308.95 T(Phenotypes) 171.65 292.95 T(.....................................................................................) 231.52 292.95 T(1-20) 486.65 292.95 T(Objective Function V) 171.65 276.95 T(alues) 274.25 276.95 T(.............................................................) 303.48 276.95 T(1-21) 486.65 276.95 T(Fitness V) 171.65 260.95 T(alues) 215.96 260.95 T(.................................................................................) 243.51 260.95 T(1-22) 486.65 260.95 T(Support for Multiple Populations) 135.65 240.95 T(..............................................................) 300.48 240.95 T(1-23) 486.65 240.95 T(Examples) 135.65 220.95 T(....................................................................................................) 186.54 220.95 T(1-26) 486.65 220.95 T(The Simple GA) 171.65 204.95 T(..............................................................................) 252.51 204.95 T(1-26) 486.65 204.95 T(A Multi-population GA) 171.65 188.95 T(..................................................................) 288.48 188.95 T(1-30) 486.65 188.95 T(Demonstration Scripts) 171.65 172.95 T(.....................................................................) 279.49 172.95 T(1-36) 486.65 172.95 T(References) 135.65 152.95 T(...................................................................................................) 189.54 152.95 T(1-37) 486.65 152.95 T3 28 Q(2 Refer) 63.65 122.29 T(ence) 150.98 122.29 T0 12 Q(..............................................................................................) 204.53 122.29 T(2-1) 486.65 122.29 TFMENDPAGE%%EndPage: "3" 4%%Trailer%%BoundingBox: 0 0 595.3 841.9%%Pages: 3 1%%DocumentFonts: Times-Roman%%+ Symbol%%+ Times-Italic%%+ Times-Bold
⌨️ 快捷键说明
复制代码
Ctrl + C
搜索代码
Ctrl + F
全屏模式
F11
切换主题
Ctrl + Shift + D
显示快捷键
?
增大字号
Ctrl + =
减小字号
Ctrl + -