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Evolution and Optimum Seeking

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360 Appendix A<br />

Start:<br />

Figure A.31: Graphical representation of Problem 2.48<br />

F (x) == ; 4 ;16 ;36 ;64 ;100 ;144 ;196 ;256=<br />

x 00 ' (6:293 2:293) F (x 00 ) ';44:86<br />

x (0) =(0 0) F (x (0) )=0<br />

There are two feasible regions which are unconnected <strong>and</strong> closed. The starting point <strong>and</strong><br />

the global minimum are separated by a non-feasible region. Only the (10 , 100) evolution<br />

strategy converged to the global minimum. It sometimes happened with this strategy that<br />

one descendant of a generation would jump from one feasible region to the other however,<br />

the group of remaining individuals would converge to one of the other local minima. All<br />

other strategies did not converge to the global minimum.<br />

Problem 2.49 after Wolfe (1966)<br />

Objective function:<br />

Constraints:<br />

Minimum:<br />

Start:<br />

F (x) = 4<br />

3 (x2<br />

1 + x 2<br />

2 ; x1 x2) 3<br />

4 + x3 Gj(x) =xj 0 for j = 1(1)3<br />

x =(0 0 0) F (x )=0 all Gj active<br />

x (0) =(10 10 10) F (x (0) ) ' 52:16

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