Research Article
A Hybrid Genetic Programming Method in Optimization and Forecasting: A Case Study of the Broadband Penetration in OECD Countries
Table 29
Representation of the first five produced hGP models in forecasting (OECD overall).
| Forecasting performance—hGP models for OECD overall | Model name | Model |
| hGP Model 1 | 0.266691660828*(1*E(−4.5558998293*E(+0.395188436078*E(+6.76421029076e−07*t))* E(−0.0364443088831*t))+E(−32.929440994*E(−14.9394803737*E(−0.0140586124973*t))* ((t))−2.16676076882)) | hGP Model 2 | 0.266691660828*(1*E(−4.5558998293*E(+0.395188436078*E(+6.76421029076e−07*t))* E(−0.0364443088831*t))+E(−32.929440994*E(−14.9394803737*E(−0.0140586124973*t))* ((t))−2.16676076882)) | hGP Model 3 | 0.260458088163*(1*E(+20.7470896309*E(−1.45363179622*E(+0.0230415722335*t))−((E (−0.0405561643755*t))*E(+0.68313768074*E(+0.549850481378*E(−6.35620276975e−06*t) )+E(+0.68313768074*E(+0.549850481378*((−0.120362874712*t))−20243.8982316)))))) | hGP Model 4 | 0.260458088163*(1*E(+20.7470896309*E(−1.45363179622*E(+0.0230415722335*t))− ((E(−0.0405561643755*t))*E(+0.68313768074*E(+0.549850481378*E(−6.35620276975e−06 *t))+E(+0.68313768074*E(+0.549850481378*((−0.120362874712*t))−20243.8982316)))))) | hGP Model 5 | 0.503856681046/(1+E(−(−4.93152601976*E(−297363.42521*E(−13.3313258294*E (−0.00150407130185*t))+E(−5.0614088398*E((1−((−16.026189607*t)) −284.509095804))))))) |
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