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If you take good notes during the eyeballing phase, this part is pretty easy. You already know which sockets to populate, so go ahead and populate them. Start by gently pushing the locking tabs down as far as they will go. Then, ground yourself before picking up each DIMM. Next, make sure the key slot in the middle of the DIMM matches the block in its intended socket so the DIMM can slide in properly. Gently place the left edge of the DIMM into the left-hand side of the memory socket and then ease the DIMM into position so its right edge also lines up with the right-hand side of the memory socket. Double-check that DIMM slot and socket block match up. If they do, push your left thumb down on the upper left-hand corner of the DIMM and then follow by doing the same with your right thumb on its upper right-hand corner. The DIMM should settle into place and locking tabs on both sides should snap into their upright and locked positions. Repeat for any remaining DIMMs, and that s it: You re done with RAM!

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001, G = 1, no scaling, and elitism These values were chosen based on past experience A cost function evaluation for the metagenetic algorithm consisted of a GA run until 5000 cost function evaluations were performed on one of the De Jong test functions and the result normalized relative to that of a random search algorithm Each GA in the population evaluated each of the De Jong test functions The second step in this experiment took the 20 best GAs found by the metaGA and let them tackle each of the ve test functions for ve independent runs The best GA for on-line performance had Npop = 30, Xrate = 095, m = 001, G = 1, scaling of the cost function, and elitism.

P1: KOA WY050-04 WY050-Ulick-v4 September 19, 2004 11:4

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Figure 12.7 Four mammograms shown on a 2K two-monitor digital mammography teaching WS. (left) Left and right craniocaudal views; (middle) left and right mediolateral oblique views; (right) text monitor with icons for image display and manipulation at the WS.

Grefenstette found that the off-line performance was worse than that of a random search, indicating that the GAs tended to prematurely converge on a local minimum The best off-line GA had Npop = 80, Xrate = 045, m = 001, G = 09, scaling of the cost function, and no elitism He concludes, The experimental data also suggests that, while it is possible to optimize GA control parameters, very good performance can be obtained with a range of GA control parameter settings A couple of years after the Grefenstette study, a group reported results on optimum parameter settings for a binary GA using a Gray code (Schaffer et al, 1989) Their approach added ve more cost functions to the De Jong test function suite They had discrete sets of parameter values Npop = 10, 20, 30, 50, 100, 200; m = 0001, 0002, 0.

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005, 001, 002, 005, 010; Xrate = 005 to 095 in increments of 010; and 1 or 2 crossover points) that had a total of 8400 possible combinations Each of the 8400 combinations was run with each of the test functions Each combination was averaged over 10 independent runs The GA terminated after 10,000 function evaluations These authors found the best online performance resulted for the following parameter settings: Npop = 20 to 30, Xrate = 075 to 095, m = 0005 to 001, and two-point crossover Thomas B ck has done more recent analyses of mutation rate He showed that for the simple counting problem, the optimal mutation rate is 1/Nbits (B ck and Schutz, 1993).

solution block, and then continue until there are no more violations If the p falls within an interval spanned by an existing solution block, then this block should be decomposed into its constituent points and the Pool-Adjacent-Violators algorithm run, starting with these points, the new one, and the remaining solution blocks These rules can be shown to follow from the fact that the order in which violators are considered does not affect the nal outcome Thus, one can pretend that the new point (the one that triggered the updating of the blocks) was available from the beginning, but was not yet involved in the pooling Note that when one adds a point to a set of measurements this can completely alter the solution blocks Suppose we start with x p/ D 5; 4; 3; 2; 1 for prices p D 1; 2; 3; 4; 5; since x.

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