Research Article

Two Strategies to Improve the Differential Evolution Algorithm for Optimizing Design of Truss Structures

Table 8

Performance comparison of the 942-bar truss.

Element groupMembersCross–sectional areas (in2)
Hasancebi [47]This work
Adaptive ESsDEEDEEDE-1EDE-2EDE-3EDE-4

11, 21.0205.5031.8671.1771.8051.5271.351
23–101.0373.8070.3250.1080.1300.2460.239
311–182.9433.7383.5334.1203.7303.6572.752
419–341.9202.4421.9822.2481.8701.8701.923
535–461.02511.26910.2839.06210.47311.11011.668
647–5814.96110.95210.71710.37910.71710.02710.362
759–823.07410.4369.4279.8789.37810.40110.465
883–866.7808.6894.6204.4642.7082.8085.141
987–9418.5806.7978.1009.9117.2506.3626.107
1095–982.41523.97523.24222.53123.26321.36129.080
1199–1066.5848.4557.1915.4417.5687.3177.038
12107–1226.2914.7765.8395.7615.6155.0014.661
13123–13015.38312.47015.17116.28516.66917.42117.639
14131–1622.1001.9982.0562.1392.0382.1282.139
15163–1706.0212.6464.3743.3603.9774.0233.667
16171–1861.0220.1000.1040.2220.1000.3630.524
17187–19423.09921.57822.63021.53322.43321.48621.802
18195–2262.8892.5292.3232.5282.5152.4862.331
19227–2347.9606.8177.4788.2557.1117.5157.643
20235–2581.0080.6440.5510.7790.4480.5430.379
21259–27028.54832.34927.73826.51228.04927.32729.069
22271–3183.3493.3042.9592.9312.7762.8942.895
23319–33016.14417.14615.87815.79215.21615.57416.259
24331–33824.82222.08324.09323.86022.86521.51222.837
25339–34238.40152.24235.81934.52634.53034.83729.940
26343–3503.7871.7861.7173.4664.1451.5202.794
27351–35812.32019.33811.3749.4219.96612.5459.453
28359–36617.03613.27514.50712.80213.60615.59313.035
29367–38214.73315.04812.02113.49313.28413.35113.338
30383–39015.03112.60115.34514.39714.91514.68815.111
31391–39838.59726.28534.84835.19136.27536.87136.072
32399–4303.5113.5643.1453.0992.9473.2352.926
33431–4462.9975.6792.0831.8032.3682.2161.968
34447–4623.0605.2782.3402.3492.5652.5392.410
35463–4861.0861.6020.1230.1850.1000.1900.227
36487–4981.4620.9900.2130.3560.4210.1000.117
37499–51059.43352.60055.82356.09952.33152.73953.967
38511–5583.6322.5942.9632.9283.0363.2663.046
39559–5821.8872.1962.3202.3232.1882.3172.320
40583–6064.0723.9542.8922.8542.9532.6152.787
41607–6301.5950.9790.2440.1210.2670.2570.104
42631–6423.6710.9111.1341.8411.3821.2840.815
43643–65479.51174.84573.37076.72773.71272.48472.741
44655–7023.3943.7353.0763.0413.1142.8842.907
45703–7261.5811.8432.0762.0931.9462.0062.079
46727–7504.2042.6663.0743.0793.3133.4193.300
47751–7741.3291.3170.3080.7250.4170.4160.483
48775–7862.2420.1000.2770.4510.5770.5530.256
49787–79896.88678.72486.64486.76084.35486.33588.369
50799–8463.7103.1453.1073.1953.1303.1423.619
51847–8701.0558.5572.0750.6582.3842.4692.599
52871–8944.5664.1213.5392.9493.4523.8303.869
53895–9029.60630.0699.7197.36112.8839.83710.473
54903–9062.98412.1808.3827.5198.5008.55310.070
55907–91045.91754.29540.52640.68140.97343.23939.841
56911–9181.0000.5350.1290.2010.2710.1710.132
57919–92662.42631.73656.36259.57455.43853.71652.565
58927–9342.9774.9604.7252.8883.8935.3304.996
59935–9421.0008.5530.1220.2252.8930.7630.335
Weightbest (lb)141241142,436132,441132,529132,713132,658132,905
Weightworst (lb)151,351134,404135,764135,694134,170135,632
Weightmean (lb)145,986133,153133,386133,436133,243133,942
Weightmedian (lb)145,639133,018133,279133,280133,161133,698
Weightstdev (lb)2292.7483.1613.0709.5396.9652.3
Nanalyses150,000100,000100,000100,000100,000100,000100,000