A Bio-Inspired Method for Engineering Design Optimization Inspired by Dingoes Hunting Strategies

Table 11

Comparison results for pressure vessel design problem, taken from [38] and updated with the DOA’s algorithm results.

Algorithm [38]	Optimal values for variables				Optimum weight
			R	L
DOA	0.812500	0.437500	42.09845	176.6366	6059.7143
ACO (Kaveh and Telataheri)	0.812500	0.437500	42.103624	176.572656	6059.0888 (infeasible)
DE (Huang et al.)	0.812500	0.437500	42.098411	176.637690	6059.7340
WOA	0.812500	0.437500	42.0982699	176.638998	6059.7410
ES (Montes and Coello)	0.812500	0.437500	42.098087	176.640518	6059.7456
GA (Coello and Montes)	0.812500	0.437500	42.097398	176.654050	6059.9463
PSO (He and Wang)	0.812500	0.437500	42.091266	176.746500	6061.0777
GA (Coello)	0.812500	0.434500	40.323900	200.000000	6288.7445
GA (deb and gene)	0.812500	0.500000	48.329000	112.679000	6410.3811
Improved HS	1.125000	0.625000	58.290150	43.6926800	7197.730
Lagrangian multiplier (Kannan)	1.125000	0.625000	58.291000	43.6900000	7198.0428
Branch-bound (Sandgren)	1.125000	0.625000	47.700000	117.701000	8129.1036
GSA	1.125000	0.625000	55.9886598	84.4542025	8538.8359