Research Article

Mathematical Analysis of the Prey-Predator System with Immigrant Prey Using the Soft Computing Technique

Table 11

Unknown parameters obtained by the LeNN-WOA-NM algorithm for the prey-predator model under the influence of variations in the intrinsic growth rate of local prey .

Index

Case I10.24298626−0.26686550.093285820.175246530.06571110.455184020.620505630.107119458−0.184535
20.124780220.390269840.13404058−0.1205176−0.504835−0.1523680.29193615−0.062868140.043174485
30.159463840.472050520.04884412−0.0142591−0.03468830.988866230.097152360.1815518110.868732734
40.011206830.24610287−0.28379880.149467920.16097393−0.0744990.46391737−0.160730350.113397979
5−0.0226690.09439050.09929740.341915940.582928480.009596280.06797262−0.112443580.013444379
6−0.32161580.14101550.183250410.032286380.702878790.12845754−0.13618410.158063474−0.05836861
70.487682090.02937720.17094612−0.00183540.148606320.651305640.676639640.3149841080.261128949
80.083294060.04117897−0.0205859−0.1064367−0.1326281−0.0481534−0.0486244−0.333596420.564727586
90.87211207−0.07438210.188828080.69221376−0.12135430.015845710.00730463−0.079596730.248981123
100.746446580.015758840.170446530.131515920.136223070.26101806−0.1087744−0.09419355−32.2098458
110.263135610.09923455−0.05061620.010091650.137956340.059686360.425062350.3027983990.094716386

Case II10.33259121−0.36574490.210622760.259004420.159184370.410266290.29040796−1.70842597−0.22039024
20.17889024−0.0431343−0.64111160.231101080.426257250.08496042−0.0683335−0.015372470.252533232
30.072976370.1667513−0.0811545−0.2048892−0.1120065−0.0826385−0.6647359−0.16394699−0.00997236
4−0.13658610.47090897−0.06397773.43E − 050.1546024−0.1782350.46464940.1905217380.195440966
5−0.0073580.131022910.24249896−0.1088503−0.16712490.16954851−0.7315874−0.03059029−0.07106493
60.43362447−0.1556850.445635420.22079963−0.6459135−0.0878247−0.5471167−0.36068591−0.90966495
7−0.40725940.43108895−0.09730150.008594210.195191710.058313020.00294865−0.034408710.372338435
8−0.015323−0.0127997−0.0797150.41948941−0.28784550.21735868−0.839503−0.048150650.025011228
90.262173280.200284920.2222801−0.16303910.175203910.09747040.34891726−0.13212935−0.1419514
100.092425250.19371262−0.15742670.341898510.284347720.084944610.46694404−0.1232987439.39674102
110.13225195−0.0846055−0.02815680.142173720.318872310.429103770.267162070.0881731590.085561799

Case III10.08792719−0.029981.21744620.691656860.06374932−0.04883220.114910280.090075909−0.32604325
20.116100491.564065690.0795106−0.09029640.09097774−0.10179280.063716190.4922559960.406557357
30.03262421−0.29831610.43612230.710230610.271307560.535740290.745466630.731579954−0.11925334
4−0.85342560.271025070.09970798−0.46308680.195882230.25655668−0.17334020.4924538−0.02738845
5−0.43735730.068925560.111137510.224249730.18678342−0.00955920.138609860.342147207−0.12816846
60.85585046−0.00865720.708042980.165324530.463875910.19167055−0.41558450.3581745130.519586436
70.4731327−0.01310840.538180720.00107541−0.23717140.215388680.270670760.007722887−0.11651201
8−0.1730569−0.05426561.004630150.333047160.421115070.54031591−0.0982948−0.309648890.225264957
90.019505510.3195719−0.17817250.00222254−0.05279060.338791620.145361080.1850604020.022547703
10−0.27583160.27171296−0.04286510.075659860.29894632−0.11823050.196849460.6264427160.062105445
110.28574702−0.26285120.061022570.044035020.224146150.403643070.552061570.429077344−0.00256072

Case IV10.25369644−0.4777306−0.8361847−0.06212640.27351167−0.60650990.68147388−1.43275825−0.10932386
20.06991497−0.1139906−0.4735192−0.5854725−0.16611070.07770566−0.24603360.0524627850.191077917
3−0.2351744−0.4870632−0.0716903−0.25560449.83E − 050.02156199−0.3140772−0.4208503−0.13182798
4−0.04898050.03121692−0.2705836−0.2176759−0.3388043−0.1570093−0.29472920.0008612380.091135849
50.120660690.00528409−0.18766530.18129324−0.2476741−0.08439310.332233530.0378772150.552486838
6−0.29176940.09885985−0.655587−0.58219360.02484774−0.2678441−0.12098250.019527337−0.2041232
70.21801060.10156035−0.0839076−0.04081370.202271790.08783601−1.14728740.088467804−0.1006823
8−0.3594382−0.0329465−0.0085748−0.0762450.071221−0.2677479−0.69126710.072673015−0.60129414
90.12647778−0.0321146−0.1925977−0.1982251−0.1306954−0.4290151−0.4035842−0.01597822−0.09388657
10−0.7218529−0.127281−0.253891−0.520109−0.148345−0.13018490.45904036−0.145556930.210878261
11−0.0415557−0.0626802−0.0135924−0.2376142−0.26023340.31718881−0.0300309−0.077803080.119273654

Case V10.115351690.093314110.064595980.137089550.025231310.144401870.536785940.2896713310.265496244
21.20187280.66566882−0.01957540.553142020.209201250.535357010.30925340.735712480.320987524
30.20319881−0.82568851.095402670.096363490.12623634−0.13614610.29987708−0.14730456−0.1852485
40.02729770.50122086−0.2264851−0.04105390.34541103−0.15725140.886125890.2192311830.296041826
50.134366630.091248160.315029470.03670816−0.28421280.280475380.304938810.228728298−0.83846218
60.590905350.22192090.358369330.132875320.072794670.57461590.052420130.220708110.059736502
70.571477680.174590270.749635190.965947050.18063006−0.25056210.11584087−0.021910610.160702925
80.140835490.51514220.061702260.181894870.194128650.221329980.9645296−0.155782240.422131366
9−0.0987012−0.34473240.305476970.227528650.566319040.084389660.0392108−0.152703490.520225963
100.053379540.389787040.324107670.040672550.406039520.21526779−0.0360576−0.00016971−1.80718751
110.168828680.422474010.06696436−0.05341270.386903630.40861018−0.10325480.0398748980.21583529