Radio-to-Fiber Repeater Placement in Wireless Local-Loop Systems - Multiobjective Optimization Methodology: A Jumping Gene Approach - page 137

Table 6.3
Parameters.of.MOEAs

Parameter Value/Type

Population.size
. MOGA,.NPGA2,.NSGA2,.SPEA2,.JG 100

. .PAES 1

. .MICROGA 4

Maximum.generations.or.iterations
.

.MOGA,.NPGA2,.NSGA2,.SPEA2,.JG 1,500

. .PAES 150,000

. .MICROGA 37,500

Crossover.type Uniform.crossover

Crossover.rate 0.8

Mutation.rate 0.1

Other.settings.for.JG
Jumping.rate 0.01

Number.of.transposons 2

Length.of.transposons 5

Other.settings.for.SPEA2.or.PAES
.

Archive.size.(SPEA2,.PAES) 100

. Depth.(PAES) 4

Other.settings.for.MICROGA
.

Size.of.external.memory 100

. Size.of.population.memory 80

. Percentage.of.nonreplaceable.memory 0.25

. Replacement.cycle Every.25.iterations

. Number.of.subdivisions.of.the.adaptive.grid 25

. Number.of.iterations.to.achieve.nominal.convergence 4

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

optimization. of. radio-to-fiber. repeater. placement. using. a. jumping.
gene. algorithm,. in. Proceedings of IEEE International Conference on
IndustrialTechnology ,.Hong.Kong,.China,.December.2005,.291-296.)

In the.simulations,.10.sets.of.different.testing.scenarios.were.considered;.the.
locations.of.the.terminals,.the.height.differences.between.the.average.roof-
top. level. and. the. WLL. repeater. antenna. h ∆ ,. and. the. horizontal. distances.
between.the.WLL.repeater.and.the.diffracting.edge. d .were.randomly.gener-
ated.in.each.testing.set.
To.evaluate.the.quality.of.the.nondominated.solution.sets.found.by.each.
MOEA,. two. performance. metrics,. the. Deb. and. Jain. convergence. metric.
and.spread.(mentioned.in.Sections.5.2.and.5.3.of. Chapter.5 ,.respectively).
were. adopted.. The. means. and. standard. deviations. of. these. two. perfor-
mance.metrics.were.obtained.based.on.40.simulation.runs.in.every.set.of.
testing.scenarios.