Goal-Programming-Driven Genetic Algorithm Model for Wireless Access Point Deployment Optimization

Table 6

Decision variable and important weights for Experiment  2.

Decision variable	Variable value
Budget	15000 (𝑊bgt = .3)
Coverage rate	85% (𝑊cvg = .15)
Interference fulfill rate	85% (𝑊IFT = .15)
Capacity fulfill rate	95% (𝑊cp = .4)

Note that the important weights are marked in parentheses.