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From Genetic Algorithms to Efficient Optimization

-1.5-1-0.500.51

1.5

00.51 1.52 2.53 3.54 4.5A

B

C

1D2D3D10D

-1.5-1-0.5

00.5

1

1.5

00.51 1.52 2.53 3.54 4.5

A 1

2

3

00.05

0.1

0.150.20.250.30.350.40.450.500.51 1.52 2.53

p r o b a b i l i t y r1/r2

1

0.5

-0.5

-1 -1-0.500.51

1e-050.0001

0.001

0.01

0.1

1

10

10100100010000LOCAL-OPTIMIZE, chap 3LOCAL-OPTIMIZE, chap 4

10100

1000

10000

100000PROCEDURE 2-1GENETIC ANNEALING POWELL SIMPLEX

SPHERE MODEL

10100100010000100000PROCEDURE 2-1GENETIC ANNEALING POWELL SIMPLEX ROSENBROCK’S FUNCTION 10100

1000

10000

100000PROCEDURE 2-1GENETIC ANNEALING POWELL SIMPLEX STEP FUNCTION 10100100010000100000PROCEDURE 2-1GENETIC ANNEALING POWELL SIMPLEX QUARTIC FUNCTION WITH NOISE 10100

1000

10000

100000PROCEDURE 2-1GENETIC ANNEALING POWELL SIMPLEX SHEKEL’S FOXHOLES

2.62.8

3

3.2

3.4

3.6

3.8

4

4.2

050100150200250300350400450500

POWELL PROCEDURE 2-1

36.5

37

37.5

38

38.5

39

39.5

40

40.5

02000400060008000

10000

POWELL PROCEDURE 2-1

1001000

10000

100000

1e+060200040006000800010000

POWELL PROCEDURE 2-1

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