A New Genetic Algorithm Methodology for Design Optimization of Truss Structures: Bipopulation-Based Genetic Algorithm with Enhanced Interval Search

Table 6

Comparison of optimum designs, critical deflection, and stress values for BGAwEIS (spatial truss with 25-bars).

Ref.	Best weight	Design variable groups
		1	2–5	6–9	10-11	12-13	14–17	18–21	22–25
Rajeev and Krishnam. [95]	546.01	0.10	1.80	2.30	0.20	0.10	0.80	1.80	3.00
Zhu [96]	562.93	0.10	1.90	2.60	0.10	0.10	0.80	2.10	2.60
Erbatur et al. [97]	493.80	0.10	1.20	3.20	0.10	1.10	0.90	0.40	3.40
^∗∗Coello et al. [98]	493.94	—	—	—	—	—	—	—	—
^∗∗Wu and Chow [99]	491.72	—	—	—	—	—	—	—	—
SGA	814.64	0.10	3.00	2.80	2.40	2.20	1.90	2.80	2.40
MPGA	486.29	0.10	0.50	3.40	0.10	1.50	0.90	0.60	3.40
BGAwEIS	485.90	0.10	0.10	3.40	0.10	1.90	1.00	0.70	3.40
Max. displacement. in 𝑥, 𝑦 and 𝑧 directions: 0.1206, 0.3498, 0.0462 at node1
Max. element stress: 20.2311 at element 25

^**Design variable groups are not presented in the references.