Mathematical Problems in Engineering / 2012 / Article / Tab 3

Research Article

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

Table 3

Decision variables and import weights for four subtests in Experiment  1.

Decision variableE1.aE1.bE1.cE1.d

Budget30000 ( = .25)30000 ( = .40)35000 ( = .25)
Coverage rate85% ( = .25)85% ( = .20)85% ( = .25)
Capacity fulfillment rate80% ( = .25)80% ( = .20)80% ( = .25)
Interference fulfillment rate80% ( =  25)80% ( = .20)80% ( =  25)90% ( = 25)

Note that important weights are marked in parentheses.

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