Research Article

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

Table 8

Decision variables and important weights for Experiment  3.

ObjectiveE3.aE3.b

Target area2250 km290000 km2
Budget ( = .55)13500005650000
Coverage rate ( = .15)85%85%
Capacity and interference fulfillment rates ( = =  0.15)80%80%

Note that the capacity requirements are shown in the Appendix and the important weights are marked in parentheses.