Nature Inspired Computational Technique for the Numerical Solution of Nonlinear Singular Boundary Value Problems Arising in Physiology

Table 9

Optimal values of adjustable parameters acquired by the hybrid schemes GA-IPA and GA-ASA (for 𝑚=0.25).

Algorithm	𝑖	𝛼𝑖	𝑏𝑖	𝑐𝑖
GA-IPA	1	−1.21283109847133	2.10611144213430	−1.74180188323508
	2	1.03571174166241	3.33901417043102	1.97927968097166
	3	2.54354943860472	−2.81356919290601	−1.82477617426169
	4	−0.08380302331005	−0.89090920684382	−3.47294702330385
	5	−3.78578617501133	2.34830432992743	−0.46468044922713
	6	0.77113283421175	1.39103539510805	0.60221633923140
	7	−0.39166723764742	−2.78667344812987	−2.71312485832199
	8	2.60276365782489	3.24107191442605	2.25289685558876
	9	−4.01442973095422	0.11578635663362	−1.55798487398090
	10	−0.01034412572293	−0.73422658403828	−1.74180188323508
GA-ASA	1	−1.29954899127975	1.55618946670852	−4.97951286549580
	2	0.36030995762761	4.54268965985819	−1.53639071233373
	3	1.35509804608392	−3.67898087578096	1.22063364702299
	4	−1.49517350846173	−8.31269717983695	−6.46006519243648
	5	−3.56649523601647	2.84611416572567	−4.07363209952837
	6	0.13571937537889	1.49401185018163	−1.64402410793090
	7	−1.17448382336998	2.18102189143932	1.16234155281522
	8	3.14946103860480	1.98119612209956	−0.89293215000584
	9	−2.50385665347528	1.39658982973737	4.20709618704552
	10	−0.21700379010878	−2.35736445901048	−5.76189602761190