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Evolution and Optimum Seeking

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Test Problems for the Second Part of the Strategy Comparison 345<br />

Figure A.19: Graphical representation of Problem 2.27<br />

F (x) ==0:03 0:3 1 3 10 30=<br />

Because of rounding errors this same objective function value is reached for various pairs<br />

of values of x 1x 2:<br />

Local maximum:<br />

Saddle point:<br />

Start:<br />

x 0 ' (1:063 0) F (x 0 ) ' 1:258<br />

x 00 ' (1:967 0) F (x 00 ) ' 0:4962<br />

x (0) =(2 0) F (x (0) )=0:5<br />

Problem 2.28 of Watson (after Kowalik <strong>and</strong> Osborne, 1968)<br />

Objective function:<br />

where<br />

F (x) =<br />

30X<br />

i=1<br />

0<br />

B<br />

@ 5X<br />

j=1<br />

ja j;1<br />

i xj+1 ;<br />

ai =<br />

2<br />

4 6X<br />

j=1<br />

i ; 1<br />

29<br />

a j;1<br />

i xj<br />

32<br />

5<br />

; 1<br />

1<br />

C<br />

A<br />

2<br />

+ x 2<br />

1<br />

The origin of this problem is the approximate solution of the ordinary di erential equation<br />

dz<br />

dy ; z2 =1

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