Resource Management in WCDMA - Multiobjective Optimization Methodology: A Jumping Gene Approach - page 164

Table 7.9
Means.and.Standard.Deviations.of.the.Spread.for.Scenario.b:.50.Users

TestingSet MOGA NPGA2 NSGA2 SPEA2 JG

1 0.96062 0.96917 0.96843 0.97096 0.96003

(0.03261) (0.02618) (0.02822) (0.02906) (0.02876)

2 0.95888 0.96347 0.96531 0.96491 0.97416

(0.03379) (0.03510) (0.03890) (0.04128) (0.062043)

3 0.95964 0.96828 0.97048 0.96120 0.95817

(0.03512) (0.02732) (0.03533) (0.04391) (0.04916)

4 0.95982 0.96202 0.96421 0.96377 0.94788

(0.03662) (0.04374) (0.05022) (0.04380) (0.05851)

5 0.95541 0.96625 0.96334 0.95894 0.96291

(0.03169) (0.03527) (0.02834) (0.04291) (0.03669)

6 0.95817 0.96369 0.96771 0.95566 0.95168

(0.04278) (0.03486) (0.03583) (0.03866) (0.05337)

7 0.97214 0.98094 0.97076 0.97222 0.97002

(0.02222) (0.02363) (0.02729) (0.02588) (0.03060)

8 0.95921 0.96735 0.97458 0.96891 0.96095

(0.03750) (0.02611) (0.02456) (0.02443) (0.03080)

9 0.96348 0.96340 0.96429 0.96015 0.95274

(0.03106) (0.03829) (0.03538) (0.03922) (0.04628)

10 0.95928 0.96656 0.97195 0.95944 0.96126

(0.03114) (0.02769) (0.03023) (0.03351) (0.03570)

Note: The. best. result. for. each. testing. set. is. marked. in. bold,. and. the. values. in.
parentheses.represent.the.standard.deviation.

. 2.. As.compared.with.the.NPGA2,.the.JG.was.more.favorable,.except.

for.sets.5.and.6.

. 3.. As.compared.with.the.NSGA2,.the.JG.was.more.favorable.for.all.

10.sets.

. 4.. As.compared.with.the.SPEA2,.the.JG.was.more.favorable,.except.

for.sets.5,.6,.and.10.

Scenario.b:.50.users

. 1.. As.compared.with.the.MOGA,.the.JG.was.more.favorable,.except.

for.set.5.

. 2.. As.compared.with.the.NPGA2,.the.JG.was.more.favorable,.except.

for.sets.5-7.

. 3.. As.compared.with.the.NSGA2,.the.JG.was.more.favorable,.except.

for.set.1.

. 4.. As.compared.with.the.SPEA2,.the.JG.was.more.favorable,.except.

for.set.5.