Wo algorithms. The diversity of neighborhood structure also improves the optimization performance of the algorithm. four.4. Experiments with Distinctive Optimization Objectives The strategy presented in this paper was applied to 3 models with distinctive optimization objectives, namely, AAPK-25 custom synthesis minimum total price, minimum carbon emission, and minimum freshness loss, along with other circumstances in the model remained unchanged. Twelve calculation examples with 25 buyer sizes were selected in the example database for testing. The experimental benefits are shown in Table 3, exactly where TC represents the total PF-05105679 Epigenetic Reader Domain expense (unit: yuan), CE represents the price of carbon emission (unit: yuan), and FL represents the price of freshness loss (unit: yuan). It could be observed from Table three from both the price value and the proportion of each price inside the total expense, the method in this paper can get much better benefits when faced with distinct optimization objectives. Initially, a longitudinal comparison was made: (1) compared with other sorts of data, the proportion of carbon emissions within the total price of C kind information was decrease; (two) compared with other sorts of information, the proportion of freshness loss within the total price of R variety data was reduced than other people; (three) when the optimization objective is definitely the total expense or carbon emission, carbon emission expense was the lowest among all charges. For horizontal comparison: (1) the TC value of total cost minimization was compared together with the TC worth of carbon emission minimization, and the typical reduction was 29.five , among which the C-type data had the biggest reduction. Compared together with the TC worth that minimizes the total price plus the TC value that minimizes the loss of freshness, the typical reduction was 54.two , and each and every form of information had a considerable reduction. (2) Compared together with the CE worth with the total cost minimization, the CE value on the carbon emission minimization lowered by 7.3 on typical. Nonetheless, the CE worth with the carbon emission minimization reduced by 61.6 on average, compared with all the CE worth with the freshness loss minimization. (3) Compared with all the FL worth using the minimum total expense, the FL worth using the minimum freshness loss decreased by an average of 11 , and the FL value with the minimum freshness loss decreased by an average of 17.1 compared together with the FL worth together with the minimum carbon emission.Appl. Sci. 2021, 11,17 ofTable three. Comparison of experimental benefits of unique optimization objectives. Data Set C102 C104 C106 C204 R103 R109 R111 R204 RC103 RC104 RC107 RC208 Average Minimize Total Cost CE CE/TC FL 284.01 259.51 358.65 287.82 586.05 694.03 644.57 487.55 509.05 425.43 430.91 384.51 446.01 eight.03 7.78 eight.36 7.02 ten.62 11.80 11.88 10.53 10.39 9.89 10.08 8.86 9.81 1346.93 1315.69 1341.4 1951.8 651.18 659.66 673.69 924.22 1124.41 1069.99 1085.99 1536.25 1140.10 Decrease Carbon Emissions CE CE/TC FL 249.35 247.36 250.83 268.39 585.29 642.72 641.76 428.65 507.21 420.97 421.15 298.59 413.52 two.35 3.78 two.67 four.14 10.55 ten.48 ten.74 7.96 9.63 9.48 9.80 4.07 six.41 1373.31 1488.2 1442.71 2043.81 662.88 698.99 668.07 1066.77 1151.62 1108.two 1121.86 1856.07 1223.54 Lessen Freshness Loss CE CE/TC FL 617.34 514.49 496.9 666.46 1198.16 1342.92 1435.94 764.25 1721.63 1534.69 1723.6 914.84 1077.60 six.15 9.28 7.75 4.77 12.80 13.32 13.11 11.80 13.10 13.04 13.19 11.23 10.87 1218.05 1153.94 1303.53 1642.84 570.78 593.03 580.6 798.24 1003.82 971.71 982.1 1359.81 1014.TC 3534.94 3333.77 4291.84 4097.12 5520.32 5880.64.
