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

Table 1

A preliminary demonstration of GAwEIS to a planar truss with two-bars.

	Indiv.	Section properities	NSBS	𝑋min	𝑋max	DVN	VNDV	SN	BVI𝐿	BVI𝑈
Continous design variables	Indiv. (1)	[0.32 0.56]	4	0.1	1	1	0.32	1	0.100	0.325
						2	0.56	3	0.551	0.775
	Indiv. (2)	[0.82 0.24]	4	0.1	1	1	0.82	4	0.776	1.000
						2	0.24	1	0.100	0.325
Discrete design variables	Indiv. (1)	[001011]	4	1	5	1	1	1	0.100	0.325
						2	3	3	0.551	0.775
	Indiv. (2)	[100001]	4	1	5	1	4	4	0.776	1.000
						2	1	1	0.100	0.325

NSBS: number of subsolution regions (the bumber of segment), VNDV: value of each design variable, DVN: design variable number, SN: subsolution region (segment) number.