Research Article

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

Table 6

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

Algorithm

GA-IPA12.00000990197459−2.53327380955379−2.04436628299064
2−1.286025836944440.628600926323132−3.08615267144563
30.765196864102529−0.826071194697222−0.448002389749568
4−3.363161542837731.94124108704907−2.24922902674485
5−2.817547590225931.90734595147276−2.66329404646048
6−0.749086831887256−3.109187826448351.59601601647687
7−2.56750443242766−1.64680511116928−2.3695938077251
81.671025840353663.3098175417873−2.95032975955236
9−2.91926666202298−1.4378519528881−1.43522291979122
10−0.516212440164525−0.623509775567634−2.703478256228

GA-ASA10.464500439684582−11.0028781120949−12.7636935584212
2−3.333246942610122.11315018577675−5.37188638435383
3−0.1943375597213110.47470727444725−0.042351193375573
4−3.454087597666782.70099441007266−3.75724365940641
5−5.48801698503117−14.9999432116995−13.806030007752
6−1.28645991543674−2.975020020926672.6266679780155
7−6.56302549714287−5.15963787587387−8.09010590696137
81.98844849402182.42668650849131−5.97859767484604
9−9.05563942802748−1.15701411492891−11.8680893657959
10−1.05136593168004−1.23760873949133−10.0917104751297