Resource Management in WCDMA - Multiobjective Optimization Methodology: A Jumping Gene Approach - page 167

Table 7.12
Means.and.Standard.Deviations.of.Running.Times.
for.Four.Cases.(ms)

Case1 Case2 Case3 Case4

Average 283.64 314.06 545.2 591.68

Standard.deviation 17.81 45.16 36.70 64.39

Source: . Data.from.Chan,.T..M.,.Man,.K..F.,.Tang,.K..S.,.Kwong,.

S.,. A. jumping. gene. algorithm. for. multiobjective.
resource.management.in.wideband.CDMA.systems,.
TheComputerJournal ,.48(6),.749-768,.2005.

In. conclusion,. the. JG. scored. 33. favorable. marks,. 6. inconclusive. marks,.
and.only.1.unfavorable.mark.for.scenario.a.with.25.users..Regarding.sce-
nario. b. with. 50. users,. the. JG. scored. 34. favorable. marks,. 5. inconclusive.
marks,.and.only.1.unfavorable.mark..Therefore,.it.was.demonstrated.that.
the. JG. had. a. powerful. and. effective. search. ability. to. seek. better. sets. of.
nondominated. solutions. with. better. performance. in. convergence. and.
diversity.
For. illustration,. some. sampled. nondominated. solution. sets. obtained. by.
different. MOEAs. for. the. 10. sets. of. each. of. scenarios. a. and. b. are. shown. in.
Figures 7.6 .a nd . 7.7 ,. respectively.

60

50

40

30

20

10

0

MOGA NSGA2 SPEA2 NPGA2 JG

Algorithm

Figure 7.4
Total.number.of.extreme.nondominated.solutions.obtained.by.different.MOGAs.for.scenario.
a:.25.users..(From.Chan,.T..M.,.Man,.K..F.,.Tang,.K..S.,.Kwong,.S.,.A.jumping.gene.algorithm.for.
multiobjective.resource.management.in.wideband.CDMA.systems,. TheComputerJournal ,.48(6),.
749-768,.2005..With.permission.from.Oxford.University.Press.)