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Evolution and Optimum Seeking

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332 Appendix A<br />

Several of the search procedures wereunableto ndtheminimum. They converge to a<br />

point on the line x 1+x 2 = 4, which joins together the sharpest corners of the rhombohedral<br />

contours. The partial derivatives of the objective function are discontinuous there in the<br />

unit vector directions, parallel to the coordinate axes, no improvement can be made.<br />

Besides the coordinate strategies, the methods of Hooke <strong>and</strong> Jeeves <strong>and</strong> of Powell are<br />

thwarted by this property.<br />

Problem 2.7 after Box (1966)<br />

Objective function:<br />

Minima:<br />

F (x)=<br />

10X<br />

j=1<br />

(exp (;0:1 jx 1) ; exp (;0:1 jx 2) ; x 3 [exp (;0:1 j) ; exp (;j)]) 2<br />

x =(1 10 1) F (x )=0<br />

x =(10 1 ;1) F (x )=0<br />

Besides these two equivalent, strong minima there is a weak minimum along the line<br />

x 0<br />

1 = x 0<br />

2 x 0<br />

3 =0 F (x 0 )=0<br />

Because of the<br />

into a region:<br />

nite computational accuracy the weak minimum is actually broadened<br />

x 00<br />

1 ' x 00<br />

2 x 00<br />

3 ' 0 F (x 00 )=0 if x1 1<br />

Figure A.6: Graphical representation of Problem 2.7 on the plane<br />

x3 =1F(x) ==0:03 0:3 1' 3:064 10 30=

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