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The GAP between the objective value of the proposed GA and Z best in the worst case is 6.2%%.
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However, the differences between the objective values obtained from different population sizes are not very significant.
The relative differences between the objective values, achieved by the two methods, are shown as GAP in Table 16.
Table 5 shows a comparison between the objective values obtained using the optimal scheme vs. the values obtained from the relaxed (decomposed) scheme for small scale problems (up to 200 requests).
Figure 4 shows after adding new features, the correlation between the objective values and the model output values improves significantly in both test and validation sets over the control models.
The results demonstrate that our proposed heuristic algorithm can obtain the solution network layout much more effectively than Gurobi, and the optimality gap of the objective value between our heuristic and Gurobi is less than 6%%.
The Q.N.I., on the other hand, was designed to capture the "objective value of world nationalities".
As he described it to me, "I changed the objective value of the cigarette.
I could demonstrate the objective value of a cat, if I wanted to.
The accuracy between the ideal solution and the objective values is evaluated handling the fuzzy parameters through their expected intervals and using discrepancy between fuzzy numbers in our analysis.
The relative Gap between the best objective value obtained by the GAMS and the proposed two phase GA is calculated according to Eq. (33).
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