自适应樽海鞘群算法求解考虑运输时间的柔性作业车间调度
|
牛昊一,吴维敏,章庭棋,沈微,张涛
|
Adaptive salp swarm algorithm for solving flexible job shop scheduling problem with transportation time
|
Hao-yi NIU,Wei-min WU,Ting-qi ZHANG,Wei SHEN,Tao ZHANG
|
|
表 4 ASSA算法与GUROBI求解器的实验测试结果 |
Tab.4 Comparison results of ASSA algorithm and GUROBI solver |
|
案例 | ASSA | | GUROBI | | 案例 | ASSA | | GUROBI | $t_{\rm{op} }/{\rm{s}}$ | ${C_{{\rm{\max}} } }$ | $\delta / {\text{%}} $ | $t_{\rm{op} }/{\rm{s} }$ | ${C_{{\rm{\max}} } }$ | $\delta / {\text{%}} $ | $t_{\rm{op} }/{\rm{s}}$ | ${C_{{\rm{\max}} } }$ | $\delta / {\text{%}} $ | $t_{\rm{op} }/{\rm{s}}$ | ${C_{{\rm{\max}} } }$ | $\delta / {\text{%}} $ | EX11 | 5.04 | 96 | 0 | | 59.29 | 96 | 0 | | EX110 | 0.36 | 126 | 0 | | 15.61 | 126 | 0 | EX21 | 13.27 | 102 | 0 | 146.46 | 102 | 0 | EX210 | 0.44 | 148 | 0 | 14.56 | 148 | 0 | EX32 | 4.71 | 85 | 0 | 60.41 | 85 | 0 | EX320 | 0.46 | 145 | 0 | 16.22 | 145 | 0 | EX42 | 26.03 | 88 | 0 | 323.05 | 88 | 0 | EX420 | 6.40 | 114 | 0 | 53.12 | 114 | 0 | EX53 | 5.68 | 74 | 0 | 83.67 | 74 | 0 | EX530 | 0.19 | 99 | 0 | 13.64 | 99 | 0 | EX63 | 15.11 | 103 | 0 | 196.18 | 103 | 0 | EX630 | 4.65 | 182 | 0 | 41.32 | 182 | 0 | EX74 | 18.18 | 128 | 0 | 231.56 | 128 | 0 | EX640 | 5.41 | 184 | 0 | 45.48 | 184 | 0 | EX84 | 15.23 | 163 | 0 | 171.99 | 163 | 0 | EX740 | 2.65 | 137 | 0 | 32.03 | 137 | 0 | EX94 | 5.87 | 120 | 0 | 71.66 | 120 | 0 | EX741 | 1.78 | 203 | 0 | 19.70 | 203 | 0 | EX104 | 11.50 | 159 | 0 | 134.67 | 159 | 0 | EX840 | 0.28 | 293 | 0 | 12.07 | 293 | 0 | 平均值 | 12.06 | — | 0.0 | | 147.89 | — | 0.0 | 平均值 | 2.26 | — | 0.0 | | 26.38 | — | 0.0 |
|
|
|