Research Article

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

Table 10

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

Algorithm

GA-IPA1−2.832585690002882.98033056807418−5.23172928318637
2−4.420103324720990.134959328176144.02502515752573
33.306008054150912.084677451715264.03825862924909
40.004088217998008.276134048082221.33095013889441
51.32492260599249−3.716985297423894.55970043938072
6−2.309188024610944.739753165262856.29762522267394
71.710757814929182.37576486096926−2.55486267649637
84.52199590675746−4.38217408351950−7.46847005821201
90.28578832784628−1.399793712655972.03514844007566
100.55554404620260−1.631979377842190.41337265836928

GA-ASA1−2.730565656919443.49085467009396−5.25776847865554
2−4.336347119542310.231848955400154.31738960575493
33.804230168833271.805912178648294.67576012584760
40.013643757294679.410777987452021.15634974437215
50.80980144878077−3.959013790933584.45931462422107
6−2.337472740254785.283369353041146.13742438292330
71.881775935281832.61799608130219−3.08482698001940
84.88126374826236−4.73664684075954−8.02792576795810
90.40997080411581−1.477297416881292.21958697592547
100.33789053645730−1.335298033137170.44393611859182