考虑服务定价的选择性众包配送优化
李嫚嫚,孙加辉,丁楠,杨京帅

Selective crowdsourcing distribution optimization considering service pricing
Man-man LI,Jia-hui SUN,Nan DING,Jing-shuai YANG
表 3 自适应大邻域搜索算法性能分析
Tab.3 Performance analysis of adaptive large neighborhood search algorithm
案例编号 GUROBI E-R-T-R S-A ALNS
TC/元 CT/s TC/元 CT/s GAP% TC/元 CT/s GAP% TC/元 CT/s GAP%
1)注:黑粗体表示ALNS获得的解质量不劣于2 h求解时间限制下GUROBI 9.1获得的解质量.
c101_10 147.50 22.22 161.57 0.03 9.54 267.54 0.06 81.39 147.501) 0.41 0.00
c102_10 147.25 1 005.46 282.73 0.03 92.00 272.62 0.04 85.14 147.25 0.53 0.00
c103_10 147.25 1 035.00 282.73 0.03 92.00 272.62 0.04 85.14 147.25 0.56 0.00
c104_10 146.41 7 200.00 161.19 0.03 10.10 147.66 0.06 0.86 146.41 0.69 0.00
c105_10 148.33 1.56 161.57 0.04 8.93 267.18 0.14 80.13 148.33 18.62 0.00
r101_10 629.53 95.02 653.85 0.03 3.86 742.35 0.05 17.92 629.53 0.46 0.00
r102_10 499.77 7 200.09 709.34 0.03 41.93 624.16 0.05 24.89 503.92 0.34 0.83
r103_10 499.77 7 200.09 709.34 0.03 41.93 624.16 0.04 24.89 503.92 0.34 0.83
r104_10 378.21 7 200.06 620.43 0.03 64.04 492.57 0.06 30.24 378.21 0.51 0.00
r105_10 521.97 46.79 523.09 0.05 0.21 626.85 0.04 20.09 521.97 0.53 0.00
rc101_10 363.57 6.42 452.58 0.26 24.48 670.87 0.05 84.52 363.57 0.45 0.00
rc102_10 348.05 4 302.53 568.80 0.04 63.42 511.06 0.05 46.84 348.05 0.90 0.00
rc103_10 348.05 4 103.36 568.80 0.03 63.42 511.06 0.05 46.84 348.05 0.94 0.00
c101_100 1 852.66 7 200.00 3 249.91 0.37 75.42 1 893.39 2.32 2.20 1 727.40 6.23 −6.76
c102_100 1 727.40 7 200.00 3 588.87 0.38 107.76 2 296.24 2.18 32.93 1 727.40 4.51 0.00
c103_100 1 731.75 7 200.00 4 392.15 0.52 153.63 2 206.12 2.23 27.39 1 727.32 5.09 −0.26
c104_100 1 750.42 7 200.00 4 570.76 0.41 161.12 1 917.40 3.14 9.54 1 725.21 4.00 −1.44
c105_100 1 727.40 7 200.00 4 188.41 0.38 142.47 2 013.64 2.36 16.57 1 727.40 5.38 0.00
r101_100 3 296.94 7 200.00 4 567.15 0.50 38.53 4 802.14 3.32 45.65 3 362.78 17.17 2.00
r102_100 2 985.31 7 200.00 4 792.02 0.53 60.52 4 133.31 2.53 38.45 2 989.25 17.61 0.13
r103_100 2 627.45 7 200.00 5 381.12 0.60 104.80 3 365.45 2.27 28.09 2 478.48 5.33 −5.67
r104_100 2 291.19 7 200.00 5 400.40 0.76 135.70 2 403.18 2.28 4.89 1 867.78 21.59 −18.48
r105_100 2 628.43 7 200.00 5 780.48 0.61 119.92 3 635.05 2.27 38.30 2 530.38 16.01 −3.73
rc101_100 2 955.63 7 200.00 4 395.52 0.47 48.72 4 345.50 2.37 47.02 3 067.33 15.75 3.78
rc102_100 2 744.13 7 200.00 4 679.20 0.53 70.52 3 894.32 2.37 41.91 2 756.06 8.80 0.43
rc103_100 2 648.47 7 200.00 5 000.11 0.60 88.79 3 243.46 2.20 22.47 2 507.22 22.56 −5.33
rc104_100 2 386.94 7 200.00 4 521.67 0.51 89.43 2 590.27 2.45 8.52 2 125.90 5.65 −10.94
rc105_100 2 983.89 7 200.00 4 095.16 0.47 37.24 3 691.45 2.26 23.71 2 734.31 18.66 −8.36