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

Table 2

Optimal values of adjustable parameters acquired by hybrid schemes GA-IPA and GA-ASA for Example 1.

Algorithm	𝑖	𝛼𝑖	𝑏𝑖	𝑐𝑖
GA-IPA	1	−0.881133727216563	0.175902006189556	2.693904577232850
	2	−1.914168112274790	1.024785387381440	−0.272756383809543
	3	0.901876834716753	1.555229731984290	0.208750983272920
	4	−1.947284050383540	0.246494504533957	2.816685127611610
	5	0.319195846157371	0.311493860596170	2.589042884403360
	6	0.338828303168466	1.412954189710230	2.134887086122020
	7	1.815710626779760	−1.118954968300880	2.558280772425890
	8	0.597896084699779	1.439765864844720	0.831615402493059
	9	−0.910846359413137	−2.055541748351630	−2.280854618769590
	10	0.921033436460622	−0.501229298596323	1.104201541521030
GA-ASA	1	−1.222686746438630	0.189242172392676	8.252947472264750
	2	−2.523521838558800	0.932853654818075	−1.298732098734470
	3	0.093712913166590	2.928861096270040	1.277936661162530
	4	−3.184466684228680	0.032276934636307	7.151638887800430
	5	0.841907376147177	0.624133706586784	6.016699202542360
	6	0.543579681831342	2.609855976017300	4.653625396488530
	7	2.180560092827050	−1.246422531808260	5.635726739884160
	8	1.088558307376610	1.635782026957210	0.687577406535134
	9	−1.174842130910290	−3.963774572717790	−5.326425392182380
	10	1.017060692847850	−0.833587641581821	2.237065486971310