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

Table 4

Model I and Model II for resolving the four subtests.

Model I (for subtests E1.a and E1.b)	Model II (for subtests E1.c and E1.d)
Min0.25^a(0.4)^bbgt^++0.25^a(0.2)^bcvg^−+0.25^a(0.2)^bcp^−+0.25^a(0.2)^bIFT^−	Min0.25bgt^++0.250cvg^−+0.25cp^−+0.25IFT^−
Subjectto	Subjectto
CST(𝑇)−bgt^++bgt^−=30000	CST(𝑇)−bgt^++bgt^−=30000
Φ(𝑇)−cvg^++cvg^−=0.85	Φ(𝑇)−cvg^++cvg^−=0.85
Ψ(𝑇)−cp^++cp^−=0.8	Ψ(𝑇)−cp^++cp^−=0.8
𝜔(𝑇)−IFT^++IFT^−=0.8	𝜔(𝑇)−IFT^++IFT^−=0.8^c(0.9)^d
bgt^+,bgt^−,cvg^+,cvg^−,cp^+,cp^−,IFT^+,IFT^−≥0	bgt^+,bgt^−,cvg^+,cvg^−,cp^+,cp^−,IFT^+,IFT^−≥0

Note that ^ais for E1(a), ^bfor E1(b), ^cfor E1(c), and ^dfor E1(d).