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 variable | E1.a | E1.b | E1.c | E1.d |
| | Budget | 30000 ( = .25) | 30000 ( = .40) | 35000 ( = .25) | | Coverage rate | 85% ( = .25) | 85% ( = .20) | 85% ( = .25) | | Capacity fulfillment rate | 80% ( = .25) | 80% ( = .20) | 80% ( = .25) | | Interference fulfillment rate | 80% ( = 25) | 80% ( = .20) | 80% ( = 25) | 90% ( = 25) |
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Note that important weights are marked in parentheses.
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