Mathematical Problems in Engineering / 2012 / Article / Tab 6

Research Article

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

Table 6

Decision variable and important weights for Experiment  2.

Decision variableVariable value

Budget15000 ( = .3)
Coverage rate85% ( = .15)
Interference fulfill rate85% ( = .15)
Capacity fulfill rate95% ( = .4)

Note that the important weights are marked in parentheses.

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