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A GENETIC ALGORITHM FOR THE ONE-DIMENSIONAL CUTTING STOCK PROBLEM WITH SETUPS

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Academic year: 2017

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Figure 1 illustrates these ideas for a two-objective case. Solution C dominates E and F because their objective values for both f 1 and f 2 are greater than those for C
Table 1 shows the results, for each instance, of the optimal solution considering only the min- min-imization of the percentage of trim loss Eq
Table 2 – Setup and percentage trim loss obtained by the four methods (L = 5180).
Table 3 – Setup and percentage trim loss obtained by the four methods (L = 9080).
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