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Seite 53
All kinds of different goals are considered , namely , selecting the t best populations , selecting a subset of fixed size s containing at least c of the t best populations , selecting a subset of random size containing the t best ...
All kinds of different goals are considered , namely , selecting the t best populations , selecting a subset of fixed size s containing at least c of the t best populations , selecting a subset of random size containing the t best ...
Seite 66
9 4 Selecting a Subset of Fixed Size s Containing At Least c of the t Best Populations / Oce / 0x + 1 ) kot . + S - t In this section we first consider the problem of selecting a subset of the smallest possible fixed size s that will ...
9 4 Selecting a Subset of Fixed Size s Containing At Least c of the t Best Populations / Oce / 0x + 1 ) kot . + S - t In this section we first consider the problem of selecting a subset of the smallest possible fixed size s that will ...
Seite 77
We wish to select a subset containing all the A t - better populations and A use the rule R : select1 , if X , ( 4 > d > 1 ) . We then have the following d ( k - 1 + i ) results : ( 6.7 ) ( k - t - lit - 2 ) inf P ( CS ) = ( t - 1 ) CD ...
We wish to select a subset containing all the A t - better populations and A use the rule R : select1 , if X , ( 4 > d > 1 ) . We then have the following d ( k - 1 + i ) results : ( 6.7 ) ( k - t - lit - 2 ) inf P ( CS ) = ( t - 1 ) CD ...
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