Biomedical Engineering Reference
In-Depth Information
Table 7.8
Means.and.Standard.Deviations.of.the.Spread.for.Scenario.a:.25 Users
Set
MOGA
NPGA2
NSGA2
SPEA2
JG
1
0.95034
0.94873
0.94898
0.96654
0.94987
(0.06094)
(0.05389)
(0.07279)
(0.11871)
(0.06413)
2
0.96014
0.99236
0.98297
0.98892
0.97441
(0.05018)
(0.03982)
(0.03309)
(0.06712)
(0.05575)
3
0.94045
0.95223
0.93142
0.95442
0.94474
(0.07583)
(0.07347)
(0.07374)
(0.10045)
(0.05788)
4
0.94631
0.94435
0.96509
0.95215
0.94769
(0.05344)
(0.05736)
(0.05694)
(0.07179)
(0.06225)
5
0.95138
0.97284
0.97092
0.95252
0.98036
(0.03794)
(0.03293)
(0.03196)
(0.04456)
(0.02898)
6
0.95047
0.96472
0.95385
0.99543
0.96520
(0.04935)
(0.10818)
(0.05415)
(0.09183)
(0.04194)
7
0.94276
0.94743
0.96991
0.95669
0.94472
(0.04559)
(0.03828)
(0.04925)
(0.05746)
(0.05503)
8
0.94984
0.96476
0.96755
0.96515
0.95749
(0.05085)
(0.04630)
(0.05599)
(0.06331)
(0.05258)
9
0.94979
0.94490
0.96567
0.93241
0.94621
(0.04538)
(0.05724)
(0.06228)
(0.06651)
(0.05164)
10
0.94702
0.97148
0.96736
0.96485
0.95994
(0.04071)
(0.03519)
(0.04306)
(0.08309)
(0.06114)
Note:
. The.best.result.for.each.testing.set.is.marked.in.bold,.and.the.values.in.
parentheses.represent.the.standard.deviation.
From.the.figures,.the.results.indicate.that.the.total.number.of.extreme.non-
dominated.solutions.for.both.scenarios.was.largest.when.the.JG.was.used.
7.8.4 Statistical Test using binary
ε
-indicator
Tables 7.10
.a
nd
.
7.11
.
show.the.corresponding.statistical.results.of.the.binary.
ε-indicator.in.terms.of.the.number.of.occurrences.of.three.cases.under.the.10.
testing.sets.for.scenarios.a.and.b,.respectively..The.three.comparison.cases.
are.specified.as.follows:
Case.I:.The.JG.is.better.than.the.compared.algorithm.
Case.II:.The.JG.is.worse.than.the.compared.algorithm.
Case.III:.They.are.incomparable.
The.results.can.be.summarized.as.follows:
Scenario.a:.25.users
.
1..
As.compared.with.the.MOGA,.the.JG.was.more.favorable,.except.
for.sets.5.and.6.
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