基于博弈论的飞机总装物流配送系统资源配置

董玉龙,陈璐,鲍中凯

Resource allocation of aircraft final assembly logistics distribution system based on game theory

Yulong DONG,Lu CHEN,Zhongkai BAO

表 1 所提粒子群优化算法的最优性和求解速度分析

Tab.1 Optimization and solving speed analysis of proposed particle swarm optimization algorithm

$ \left| I \right| $ 算法 $ N $ $ f $ $ S $/千元 $ K $ $ {t}_{{\mathrm{C}}}/{\mathrm{s}} $ $ t/{\mathrm{s}} $ $ G_f/{\text{%}} $ $ G_S/{\text{%}} $ $ G_K/{\text{%}} $ $ G_{{t}_{{\mathrm{C}}}}/{\text{%}} $ $ G_t/{\text{%}} $ 100 PSO {80,24,12,1,7} 0.10 912 23 1.24 0.05 0.00 0.00 17.39 −8.06 −20.00 BreedPSO {80,24,12,1,7} 0.10 912 25 1.15 0.05 0.00 0.00 8.00 −0.87 −20.00 SimuAPSO {80,24,12,1,7} 0.10 912 25 1.17 0.05 0.00 0.00 8.00 −2.56 −20.00 本研究 {80,24,12,1,7} 0.10 912 27 1.14 0.04 — — — — — 200 PSO {180,20,20,1,3} 0.10 1356 24 9.50 0.40 −100.00 3.54 62.50 −6.21 −42.50 BreedPSO {180,28,20,1,3} 0.00 1404 26 7.13 0.27 0.00 0.00 50.00 24.96 −14.81 SimuAPSO {180,20,20,1,3} 0.10 1356 31 7.88 0.25 −100.00 3.54 25.81 13.07 −8.00 本研究 {180,28,20,1,3} 0.00 1404 39 8.91 0.23 — — — — — 300 PSO {280,36,32,1,3} 0.10 2076 48 27.29 0.57 −100.00 −19.08 10.42 −29.83 −36.85 BreedPSO {280,20,20,1,8} 0.10 1716 31 21.00 0.68 −100.00 −2.10 70.97 −8.81 −47.06 SimuAPSO {280.20,20,1,5} 0.00 1680 45 25.37 0.56 0.00 0.00 17.78 −24.52 −35.71 本研究 {280,20,20,1,5} 0.00 1680 53 19.15 0.36 — — — — — 400 PSO {298,60,24,1,1} 0.10 2034 30 70.44 2.35 −100.00 −3.83 63.33 −72.25 −82.98 BreedPSO {281,72,20,1,10} 0.11 2055 30 43.82 1.46 −100.00 −4.82 63.33 −55.39 −72.60 SimuAPSO {292,64,20,1,3} 0.00 1956 32 59.81 1.87 0.00 0.00 53.13 −67.32 −78.61 本研究 {292,64,20,1,3} 0.00 1956 49 19.55 0.40 — — — — — 500 PSO {252,104,68,1,3} 0.22 3372 33 133.66 4.05 −54.55 −21.62 54.55 −66.74 −78.52 BreedPSO {292,68,40,3,10} 0.13 2844 39 103.96 2.67 −23.08 −7.07 30.77 −57.23 −67.42 SimuAPSO {296,68,44,1,5} 0.10 2664 44 129.69 2.95 0.00 −0.79 15.91 −65.72 −70.51 本研究 {281,72,44,1,5} 0.10 2643 51 44.46 0.87 — — — — — 600 PSO {299,72,64,2,10} 0.11 3417 34 229.27 6.74 −9.09 −14.93 41.18 −69.96 −78.78 BreedPSO {294,76,52,1,7} 0.10 2946 40 160.49 4.01 0.00 −1.32 20.00 −57.09 −64.34 SimuAPSO {294,92,48,1,10} 0.10 2970 45 226.84 5.04 11.11 −2.12 6.67 −69.64 −71.63 本研究 {285,108,44,1,8} 0.10 2907 48 68.87 1.43 — — — — — 700 PSO {339,32,64,2,10} 0.11 3297 33 330.45 10.01 −100.00 −23.93 78.79 −46.92 −70.33 BreedPSO {347,76,32,1,10} 0.10 2601 36 262.04 7.28 −100.00 −3.58 63.89 −33.06 −59.20 SimuAPSO {347,100,20,1,6} 0.11 2373 39 356.77 9.15 −100.00 5.69 51.28 −50.83 −67.54 本研究 {348,76,32,1,2} 0.00 2508 59 175.42 2.97 — — — — — 812 PSO {352,32,52,2,4} 0.13 2940 38 365.65 9.62 −100.00 −25.82 36.84 −19.73 −41.37 BreedPSO {396,20,32,1,10} 0.10 2412 37 302.97 8.19 −100.00 −9.58 40.54 −3.13 −31.14 SimuAPSO {399,44,20,1,5} 0.00 2181 44 382.62 8.70 0.00 0.00 18.18 −23.29 −35.17 本研究 {399,44,20,1,5} 0.00 2181 52 293.50 5.64 — — — — —