Resource Management in WCDMA - Multiobjective Optimization Methodology: A Jumping Gene Approach - page 166

Table 7.11
Statistical.Results.of.Binary.ε-Indicator.in.Terms.of.the.
Number.of.Occurrences.in.Three.Comparison.Cases.for.
Scenario.b:.50.Users

TestingSet Cases MOGA NPGA2 NSGA2 SPEA2

1 Case.I 2,316 1,334 815 2,089

Case.II 102 416 734 233

Case.III 82 750 951 178

2 Case.I 1,667 859 1,127 1,099

Case.II 423 811 680 703

Case.III 410 830 693 698

3 Case.I 2,108 1,575 1,102 1,750

Case.II 105 389 659 414

Case.III 287 536 739 336

4 Case.I 2,333 1,662 1,243 1,801

Case.II 70 451 626 278

Case.III 97 387 631 421

5 Case.I 719 354 1,142 363

Case.II 488 1,089 676 1,033

Case.III 1,293 1,057 682 1,104

6 Case.I 1,642 478 1,175 1,277

Case.II 285 902 671 527

Case.III 573 1,120 654 696

7 Case.I 1,343 616 1,230 945

Case.II 428 854 559 698

Case.III 729 1,030 711 857

8 Case.I 2,060 1,239 974 1,398

Case.II 130 646 761 441

Case.III 310 615 765 661

9 Case.I 1,965 1,022 1,049 1,513

Case.II 226 719 667 462

Case.III 309 759 784 525

10 Case.I 2,289 1,094 993 1,419

Case.II 62 534 666 420

Case.III 149 872 841 661

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,. TheComputer
Journal ,.48(6),.749-768,.2005.
Note: . The.best.result.for.each.testing.set.is.marked.in.bold.