A Hybrid Genetic Programming Method in Optimization and Forecasting: A Case Study of the Broadband Penetration in OECD Countries

<table class="table-group" id="tab36"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td align="center" colspan="2">Forecasting performance—optimized diffusion models for Denmark</td></tr><tr class="thead"><td align="left">Model name</td><td align="left">Model</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td align="left">Logistic</td><td align="left">0.405722295441/(1+E(−(−2.70897871256+0.0546356858504*t))) </td></tr><tr><td align="left">Bass</td><td align="left">0.412729366859*(1−E(−(0.00143820912913+0.0495453230285)*(t−(−20.4381091217))))<br/>/(1+(0.0495453230285/0.00143820912913)*E(−(0.00143820912913+0.0495453230285)<br/>*(t−(−20.4381091217)))) </td></tr><tr><td align="left">Gompertz with constant</td><td align="left">0.433911203761*E(−4.34698049161*E(−0.033071306649*t))+0.0190975994121</td></tr><tr><td align="left">Gompertz</td><td align="left">0.476280140231*E(−3.53102816452*E(−0.0290174259708*t))</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Representation of the optimized diffusion models in forecasting (Denmark).

Advances in Operations Research

tab36

Table 36

Table 36: A Hybrid Genetic Programming Method in Optimization and Forecasting: A Case Study of the Broadband Penetration in OECD Countries 