Base Station Placement in WLANs - Multiobjective Optimization Methodology: A Jumping Gene Approach - page 194

78

reference
solution
MOGA
NPGA2
NSGA2
SPEA2
PAES
MICROGA
JG

76

74

72

70

60 61 62 63

e Mean of the Path Loss Predictions ( f 3 ) (Unit: dB)

76

reference
solution
MOGA
NPGA2
NSGA2
SPEA2
PAES
MICROGA
JG

74

72

70

68

66

58 59 60 61 62

e Mean of the Path Loss Predictions ( f 3 ) (Unit: dB)

reference
solution
MOGA
NPGA2
NSGA2
SPEA2
PAES
MICROGA
JG

57 58 59 60

e Mean of the Path Loss Predictions ( f 3 ) (Unit: dB)
(a)

Figure 8.8 (See COlOr iNSerT.)
Distribution. of. reference. solutions. and. nondominated. solutions. obtained. by. MOGAs. with.
different.numbers.of.base.stations.for.scenario.a:.80.dB..(From.Chan,.T..M.,.Man,.K..F.,.Tang,.
K.. S.,. Kwong,. S.,. A. jumping-genes. paradigm. for. optimizing. factory. WLAN. network, IEEE
TransactionsonIndustrialInformatics ,.3(1),.33-43,.2007.)