Research Article
Goal-Programming-Driven Genetic Algorithm Model for Wireless Access Point Deployment Optimization
Table 5
Analysis of the results of Experiment 1.
| Indicator | E1.a | E1.b | E1.c | E1.d |
| Fitness | .9534 | .9420 | .9568 | .9567 | Time (s) | 160.0993 | 160.106 | 159.0593 | 170.4233 | Cost | 36954 | 29360 | 34647 | 34694 | Coverage rate | .85 | .6967 | .8167 | .8233 | Capacity fulfillment rate | .8490 | .6981 | .8189 | .8269 | Interference fulfillment rate | .94 | .9867 | .94 | .99 | Number of APs | 22 | 15 | 21 | 23 |
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