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📄 gatbxa2.ps

📁 基本遗传算法的Matlab工具包
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(Algorithm) 117.65 318.29 T2 12 Q2.04 (bs2rv) 135.65 300.95 P3 F0.85 ( is implemented as an m-\336le in the GA T) 171.63 300.95 P0.85 (oolbox. If logarithmic scaling is) 374.67 300.95 P(used then the range must not include zero.) 135.65 286.95 T1 16 Q(Refer) 117.65 258.29 T(ence) 155.53 258.29 T3 12 Q1.8 ([1] R. B. Holstien,) 135.65 240.95 P0 F1.8 (Arti\336cial Genetic Adaptation in Computer Contr) 234.46 240.95 P1.8 (ol Systems) 476.55 240.95 P3 F1.8 (,) 528.65 240.95 P0.7 (Ph.D. Thesis, Department of Computer and Communication Sciences, University) 135.65 226.95 P(of Michigan, Ann Arbor) 135.65 212.95 T(, 1971.) 252.42 212.95 T0.67 ([2] R. A. Caruana and J. D. Schaf) 135.65 186.95 P0.67 (fer) 301.64 186.95 P0.67 (, \322Representation and Hidden Bias: Gray vs.) 314.47 186.95 P(Binary Coding\323,) 135.65 172.95 T0 F(Pr) 217.93 172.95 T(oc. 6) 229.48 172.95 T260.58 176.79 252.8 176.79 2 LV0.48 H0 ZN0 10 Q(th) 252.8 177.75 T0 12 Q( Int. Conf. Machine Learning) 260.58 172.95 T3 F(, pp153-161, 1988.) 401.16 172.95 T2.14 ([3] W) 135.65 146.95 P2.14 (. E. Schmitendor) 164.99 146.95 P2.14 (gf, O. Shaw) 249.67 146.95 P2.14 (, R. Benson and S. Forrest, \322Using Genetic) 310.46 146.95 P3.22 (Algorithms for Controller Design: Simultaneous Stabilization and Eigenvalue) 135.65 132.95 P0.9 (Placement in a Region\323,) 135.65 118.95 P0 F0.9 (T) 258.84 118.95 P0.9 (echnical Report No. CS92-9) 264.41 118.95 P3 F0.9 (, Dept. Computer Science,) 402.36 118.95 P(College of Engineering, University of New Mexico, 1992.) 135.65 104.95 TFMENDPAGE%%EndPage: "6" 7%%Page: "7" 7595.3 841.9 0 FMBEGINPAGE0 10 Q0 X0 K(Genetic Algorithm Toolbox User\325s Guide) 63.65 61.61 T(2-7) 518.33 61.29 T63.65 716.95 531.65 726.95 C63.65 725.95 531.65 725.95 2 L1 H2 Z0 X0 KN-8.35 24.95 603.65 816.95 C1 18 Q0 X0 K(crtbase) 63.65 732.95 T1 16 Q(Purpose) 117.65 692.29 T3 12 Q(Create a base vector) 135.65 674.95 T(.) 231.9 674.95 T1 16 Q(Synopsis) 117.65 646.29 T2 12 Q(BaseVec = crtbase\050Lind, Base\051) 135.65 628.95 T1 16 Q(Description) 117.65 606.29 T2 12 Q0.66 (crtbase) 135.65 588.95 P3 F0.27 ( produces a vector whose elements correspond to the base of the loci of) 186.02 588.95 P1.48 (a chromosome structure. This function can be used in conjunction with) 135.65 574.95 P2 F3.55 (crtbp) 495.67 574.95 P3 F(when creating populations using representations in dif) 135.65 560.95 T(ferent bases.) 395.26 560.95 T2 F-0.28 (BaseVec = crtbase\050Lind, Base\051) 135.65 534.95 P3 F-0.12 ( creates a vector of length) 343.49 534.95 P2 F-0.28 (Lind) 469.34 534.95 P3 F-0.12 ( whose) 498.12 534.95 P8.25 (individual elements are of base) 135.65 520.95 P2 F19.8 (Base) 329.13 520.95 P3 F8.25 (. If) 357.91 520.95 P2 F19.8 (Lind) 391.4 520.95 P3 F8.25 ( is a vector) 420.18 520.95 P8.25 (, then) 496.75 520.95 P2 F13.9 (length\050BaseVec\051 = sum\050Lind\051) 135.65 506.95 P3 F5.79 (. If) 357.74 506.95 P2 F13.9 (Base) 386.31 506.95 P3 F5.79 ( is also a vector of) 415.09 506.95 P2 F7.3 (length\050Lind\051) 135.65 492.95 P3 F3.04 (, then) 222 492.95 P2 F7.3 (BaseVec) 257.73 492.95 P3 F3.04 ( is composed of groups of bases of length) 308.11 492.95 P1.43 (determined by the elements of) 135.65 478.95 P2 F3.44 (Lind) 291.04 478.95 P3 F1.43 ( and base) 319.83 478.95 P2 F3.44 (Base) 371.76 478.95 P3 F1.43 (. This last option is useful) 400.54 478.95 P(when describing populations with structure.) 135.65 464.95 T1 16 Q(Example) 117.65 436.29 T3 12 Q0.03 (T) 135.65 418.95 P0.03 (o create a basevector for a population containing four elements in base 8 and \336ve) 142.14 418.95 P(elements in base four:) 135.65 404.95 T2 F(BaseV = crtbase\050[4 5], [8 4]\051) 135.65 384.95 T(BaseV =) 135.65 364.95 T(8 8 8 8 4 4 4 4 4) 153.65 350.95 T1 16 Q(See Also) 117.65 328.29 T2 12 Q(crtbp) 135.65 310.95 T3 F(,) 171.63 310.95 T2 F(bs2rv) 177.62 310.95 TFMENDPAGE%%EndPage: "7" 8%%Page: "8" 8595.3 841.9 0 FMBEGINPAGE0 10 Q0 X0 K(Genetic Algorithm Toolbox User\325s Guide) 63.65 61.61 T(2-8) 518.33 61.29 T63.65 716.95 531.65 726.95 C63.65 725.95 531.65 725.95 2 L1 H2 Z0 X0 KN-8.35 24.95 603.65 816.95 C1 18 Q0 X0 K(crtbp) 63.65 732.95 T1 16 Q(Purpose) 117.65 692.29 T3 12 Q(Create an initial population.) 135.65 674.95 T1 16 Q(Synopsis) 117.65 646.29 T2 12 Q([Chrom, Lind, BaseV] = crtbp\050Nind, Lind\051) 135.65 628.95 T([Chrom, Lind, BaseV] = crtbp\050Nind, Lind, Base\051) 135.65 608.95 T([Chrom, Lind, BaseV] = crtbp\050Nind, BaseV\051) 135.65 588.95 T1 16 Q(Description) 117.65 566.29 T3 12 Q0.45 (The \336rst step in a genetic algorithm is to create an initial population consisting of) 135.65 548.95 P2.57 (random chromosomes.) 135.65 534.95 P2 F6.18 (crtbp) 253.05 534.95 P3 F2.57 ( produces a matrix,) 289.03 534.95 P2 F6.18 (Chrom) 394.25 534.95 P3 F2.57 (, containing random) 430.23 534.95 P(values in its elements.) 135.65 520.95 T2 F4.94 (Chrom = crtbp\050Nind, Lind\051) 135.65 494.95 P3 F2.06 ( creates a random binary matrix of size) 330.38 494.95 P-0.26 (, where) 212.04 480.95 P2 F-0.64 (Nind) 249.8 480.95 P3 F-0.26 ( speci\336es the number of individuals in the population) 278.58 480.95 P8.37 (and) 135.65 466.95 P2 F20.1 (Lind) 164.34 466.95 P3 F8.37 ( the length of the individuals. Additionally) 193.12 466.95 P8.37 (,) 446.81 466.95 P2 F20.1 (Chrom =) 461.18 466.95 P9.35 (crtbp\050[Nind, Lind]\051) 135.65 452.95 P3 F3.9 ( can be used to specify the dimensions of the) 281.73 452.95 P(chromosome matrix.) 135.65 438.95 T2 F0.99 (Chrom = crtbp\050Nind, Lind, Base\051) 135.65 412.95 P3 F0.41 ( produces a chromosome matrix of) 362.7 412.95 P-0.27 (base) 135.65 398.95 P2 F-0.64 (Base) 159.69 398.95 P3 F-0.27 (. If) 188.48 398.95 P2 F-0.64 (Base) 204.92 398.95 P3 F-0.27 ( is a vector) 233.71 398.95 P-0.27 (, then the value of the elements of) 284.71 398.95 P2 F-0.64 (Base) 448.11 398.95 P3 F-0.27 ( specify the) 476.89 398.95 P2.26 (base of the loci of the chromosomes. In this case, the second right hand side) 135.65 384.95 P(ar) 135.65 370.95 T(gument may be omitted,) 144.75 370.95 T2 F(Chrom = crtbp\050Nind, BaseV\051) 264.35 370.95 T3 F(.) 451.45 370.95 T2 F3.95 ([Chrom, Lind, BaseV] = crtbp\050Nind, BaseV\051) 135.65 344.95 P3 F1.65 ( also returns the) 450.43 344.95 P-0.27 (length of the chromosome structure,) 135.65 330.95 P2 F-0.65 (Lind) 310.83 330.95 P3 F-0.27 (, and the base of the chromosome loci in) 339.62 330.95 P(the vector) 135.65 316.95 T2 F(BaseV) 186.27 316.95 T3 F(.) 220.71 316.95 T1 16 Q(Example) 117.65 288.29 T3 12 Q0.05 (T) 135.65 270.95 P0.05 (o create a random population of 6 individuals of length 8 where the \336rst four loci) 142.14 270.95 P(are base eight and the last \336ve loci are base four:) 135.65 256.95 T2 F(BaseV = crtbase\050[4 5], [8 4]\051) 135.65 236.95 T(Chrom = crtbp\0506, BaseV\051) 135.65 216.95 T3 F(or) 135.65 196.95 T2 F(Chrom = crtbp\050[6,8],[8 8 8 8 4 4 4 4 4]\051) 135.65 176.95 T135.65 477.47 212.04 489.94 C2 12 Q0 X0 K(N) 136.65 480.95 T(i) 144.55 480.95 T(n) 152.45 480.95 T(d) 160.35 480.95 T(L) 180.13 480.95 T(i) 188.04 480.95 T(n) 195.94 480.95 T(d) 203.84 480.95 T4 F(\264) 170.55 480.95 T-8.35 24.95 603.65 816.95 CFMENDPAGE%%EndPage: "8" 9%%Page: "9" 9595.3 841.9 0 FMBEGINPAGE0 10 Q0 X0 K(Genetic Algorithm Toolbox User\325s Guide) 63.65 61.61 T(2-9) 518.33 61.29 T2 12 Q(Chrom =) 135.65 736.95 T(4 3 1 1 2 0 2 0 3) 153.65 722.95 T(1 4 7 5 2 1 1 1 0) 153.65 708.95 T(1 3 0 1 0 0 0 0 2) 153.65 694.95 T(1 5 5 7 2 0 2 3 1) 153.65 680.95 T(4 5 7 7 0 1 3 0 3) 153.65 666.95 T(4 2 4 0 3 3 1 1 0) 153.65 652.95 T1 16 Q(Algorithm) 117.65 630.29 T2 12 Q(crtbp) 135.65 612.95 T3 F( is an m-\336le in the GA T) 171.63 612.95 T(oolbox that uses the M) 288.38 612.95 T3 10 Q(A) 397.66 612.95 T(TLAB) 403.76 612.95 T3 12 Q( function) 429.86 612.95 T2 F(rand) 475.83 612.95 T3 F(.) 504.61 612.95 T1 16 Q(See Also) 117.65 584.29 T2 12 Q(crtbase) 135.65 566.95 T3 F(,) 186.02 566.95 T2 F(crtrp) 192.02 566.95 TFMENDPAGE%%EndPage: "9" 10%%Page: "10" 10595.3 841.9 0 FMBEGINPAGE0 10 Q0 X0 K(Genetic Algorithm Toolbox User\325s Guide) 63.65 61.61 T(2-10) 513.33 61.29 T63.65 716.95 531.65 726.95 C63.65 725.95 531.65 725.95 2 L1 H2 Z0 X0 KN-8.35 24.95 603.65 816.95 C1 18 Q0 X0 K(crtrp) 63.65 732.95 T1 16 Q(Purpose) 117.65 692.29 T3 12 Q(Create a real-valued initial population) 135.65 674.95 T1 16 Q(Synopsis) 117.65 646.29 T2 12 Q(Chrom = crtrp\050Nind, FieldDR\051) 135.65 628.95 T1 16 Q(Description) 117.65 606.29 T3 12 Q0.45 (The \336rst step in a genetic algorithm is to create an initial population consisting of) 135.65 588.95 P2.82 (random individuals.) 135.65 574.95 P2 F6.77 (crtrp) 240.23 574.95 P3 F2.82 ( produces a matrix,) 276.21 574.95 P2 F6.77 (Chrom) 382.42 574.95 P3 F2.82 (, containing uniformly) 418.4 574.95 P(distributed random values in its elements.) 135.65 560.95 T2 F2.4 (Chrom = crtrp\050Nind, FiedDR\051) 135.65 534.95 P3 F1 ( creates a random real-valued matrix of) 337.14 534.95 P3 (size) 135.65 520.95 P3 (, where) 236.68 520.95 P2 F7.2 (Nind) 280.98 520.95 P3 F3 ( speci\336es the number of individuals in the) 309.77 520.95 P0.14 (population and) 135.65 506.95 P2 F0.33 (Nvar) 210.55 506.95 P3 F0.14 ( the number of variables of each individual.) 239.33 506.95 P2 F0.33 (Nvar) 452.62 506.95 P3 F0.14 ( is derived) 481.4 506.95 P(from) 135.65 492.95 T2 F(FieldDR) 161.96 492.95 T3 F( with) 212.33 492.95 T2 F(Nvar = size\050FieldDR,2\051) 239.65 492.95 T3 F(.) 397.97 492.95 T2 F0 (FieldDR) 135.65 466.95 P3 F0 ( \050FieldDescriptionRealvalue\051 is a matrix of size) 186.02 466.95 P0 ( and contains) 468.35 466.95 P0.64 (the boundaries of each variable of an individual. The \336rst row contains the lower) 135.65 452.95 P(bounds, the second row the upper bounds.) 135.65 438.95 T2 F(FieldDR) 135.65 412.95 T3 F( is used in other functions \050mutation\051.) 186.02 412.95 T1 16 Q(Example) 117.65 384.29 T3 12 Q(T) 135.65 366.95 T(o create a random population of 6 individuals with 4 variables each:) 142.14 366.95 T(De\336ne boundaries on the variables,) 135.65 346.95 T2 F(FieldDR = [) 135.65 326.95 T(-100 -50 -30 -20;) 153.65 312.95 T( % lower bound) 283.18 312.95 T( 100) 153.65 298.95 T(50) 196.82 298.95 T(30) 225.61 298.95 T(20]; % upper bound) 254.39 298.95 T3 F(Create initial population) 135.65 278.95 T2 F(Chrom = crtrp\0506, FieldDR\051) 135.65 258.95 T(Chrom =) 135.65 238.95 T(40.23 -17.17) 168.04 224.95 T(28.95) 268.79 224.95 T(15.38) 319.16 224.95 T(82.06) 168.04 210.95 T(13.26) 218.41 210.95 T(13.35) 268.79 210.95 T(-9.09) 319.16 210.95 T(52.43) 168.04 196.95 T(25.64) 218.41 196.95 T(15.20) 268.79 196.95 T(-2.54) 319.16 196.95 T( -47.50) 153.65 182.95 T( 49.10) 211.22 182.95 T( 9.09) 268.79 182.95 T(10.65) 319.16 182.95 T( -90.50 -13.46 -25.63) 153.65 168.95 T(-0.89) 319.16 168.95 T(47.21 -25.29) 168.04 154.95 T( 7.89 -10.48) 268.79 154.95 T1 16 Q(See Also) 117.65 132.29 T2 12 Q(mutbga) 138.65 114.95 T3 F(,) 181.82 114.95 T2 F(recdis) 187.82 114.95 T3 F(,) 231 114.95 T2 F(recint) 236.99 114.95 T3 F(,) 280.17 114.95 T2 F(reclin) 286.17 114.95 T160.3 517.47 236.68 529.94 C2 12 Q0 X0 K(N) 161.3 520.95 T(i) 169.2 520.95 T(n) 177.1 520.95 T(d) 185 520.95 T(N) 204.78 520.95 T(v) 212.68 520.95 T(a) 220.59 520.95 T(r) 228.49 520.95 T4 F(\264) 195.2 520.95 T-8.35 24.95 603.65 816.95 C416.87 463.35 468.35 476.13 C3 12 Q0 X0 K(2) 417.87 466.95 T2 F(N) 436.45 466.95 T(v) 444.35 466.95 T(a) 452.26 466.95 T(r) 460.16 466.95 T4 F(\264) 426.87 466.95 T-8.35 24.95 603.65 816.95 CFMENDPAGE%%EndPage: "10" 11%%Page: "11" 11595.3 841.9 0 FMBEGINPAGE0 10 Q0 X0 K(Genetic Algorithm Toolbox User\325s Guide) 63.65 61.61 T(2-11) 513.33 61.29 T63.65 716.95 531.65 726.95 C63.65 725.95 531.65 725.95 2 L1 H2 Z0 X0 KN-8.35 24.95 603.65 816.95 C1 18 Q0 X0 K(migrate) 63.65 732.95 T1 16 Q(Purpose) 117.65 692.29 T3 12 Q( Migrate individuals between subpopulations) 135.65 674.95 T1 16 Q(Synopsis) 117.65 646.29 T2 12 Q(Chrom = migrate\050Chrom, SUBPOP\051) 135.65 628.95 T(Chrom = migrate\050Chrom, SUBPOP, MigOpt\051) 135.65 608.95 T(Chrom = migrate\050Chrom, SUBPOP, MigOpt, ObjV\051) 135.65 588.95 T([Chrom, ObjV] = migrate\050Chrom, SUBPOP, MigOpt, ObjV\051) 135.65 568.95 T1 16 Q(Description) 117.65 546.29 T2 12 Q9.55 (migrate) 135.65 528.95 P3 F3.98 ( performs migration of individuals between subpopulations in the) 186.02 528.95 P1.62 (current population,) 135.65 514.95 P2 F3.89 (Chrom) 233.16 514.95 P3 F1.62 (, and returns the population after migration,) 269.14 514.95 P2 F3.89 (Chrom) 492.67 514.95 P3 F1.62 (.) 528.65 514.95 P0.02 (Each row of) 135.65 500.95 P2 F0.06 (Chrom) 197.33 500.95 P3 F0.02 ( corresponds to one individual. The number of subpopulations) 233.31 500.95 P0.88 (is indicated by) 135.65 486.95 P2 F2.12 (SUBPOP) 211.26 486.95 P3 F0.88 (. The subpopulations in) 253.1 486.95 P2 F2.12 (Chrom) 372.24 486.95 P3 F0.88 ( are ordered according to) 408.22 486.95 P(the following scheme:) 135.65 472.95 T(All subpopulations must have the same number of individuals.) 135.65 146.46 T2 F

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