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Evolution and Optimum Seeking

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Chapter 6<br />

Comparison of Direct Search<br />

Strategies for Parameter<br />

Optimization<br />

6.1 Di culties<br />

The vast <strong>and</strong> steadily increasing number of optimization methods necessarily raises the<br />

question of which is the best strategy. There seems to be no unique answer. If indeed<br />

there were an optimal optimization method all the others would be super uous <strong>and</strong> would<br />

have been long ago forgotten.<br />

Because of the strong competition between already existing strategies it is necessary<br />

nowadays that whenever any proposal for a new method or variant is made, its advantages<br />

<strong>and</strong> improvements compared to older strategies be displayed. The usual way is to refer to<br />

a minimum problem for which the known methods fail to nd a solution whereas the new<br />

proposal is successful. Or it is shown with reference to chosen examples that computation<br />

time or iterations can be saved by using the new version. The series of publications<br />

along these lines can in principle be continued inde nitely. With su cient insight into<br />

the working of any strategy a special optimization problem can always be constructed for<br />

which the strategy fails. Likewise for any problem a special method of solution can be<br />

devised that is superior to the other procedures. One simply needs to exploit to the full<br />

what one knows of the problem structure as contained in its mathematical formulation.<br />

Progress in the eld of optimization methods does not, however, consist in developing<br />

an individual method of solution for each problem or type of problem. A practitioner<br />

would much rather manage with just one strategy, which can solve all the practically<br />

occurring problems for as small a total cost as possible. But as yet there is no such<br />

universal optimization method, <strong>and</strong> some authors doubt if there ever will be (Arrow <strong>and</strong><br />

Hurwicz, 1957). All the methods presently known can only be used without restriction<br />

in particular areas of application. According to the nature of the particular problem,<br />

one or another strategy o ers a more successful solution. The question of which isthe<br />

best strategy is itself a kind of optimization problem. To be able to answer it objectively<br />

an objective function would have tobeformulated for deciding which oftwo methods<br />

165

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