Jumping Gene Computational Approach - Multiobjective Optimization Methodology: A Jumping Gene Approach - page 43

transposon

C

a b c d e f g

Before

new insertion position

shift

C

a d e b c f g

After

pasted transposon

(a) Same chromosomes

transposon new insertion position

pasted transposon

shift

C 1 C 1

a b c d e f g

a d e v w f g

shift

C 2 C 2

t u v w x y z t u x y z b c

transposon new insertion

position

pasted transposon

Before After

(b) Different chromosomes

Figure 3.10
Cut-and-paste.operation..(From.Man,.K..F.,.Tang,.K..S.,.Kwong,.S.,.Jumping-genes.in.evolution-
ary. computing,. in. Proceedings 30th Annual Conference of the IEEE Industrial Electronics Society ,.
2004,.Busan,.Korea,.1268-1272.)

3.3.3 Jumping gene Transposition

Referring.to.transposition.in.biology,.the.cut-and-paste.and.copy-and-paste.
operations.are.randomly.chosen..As.natural.selection.tends.to.be.opportu-
nistic.but.not.prescient,.the.transposition.processes.are.neither.streamlined.
nor.planned.in.advance..It.turns.out.that.transposition.via.either.operation.
is.similar.to.other.genetic.operations.(i.e.,.crossover.and.mutation).that.work.
based.on.the.probability.governed.by.the.jumping.rate. p j .
This. can. be. easily. implemented. as. follows:. A. random. number r rang-
ing. between. 0. and. 1. is. generated. for. each. transposon.. If. r p j ,. the. trans-
poson.will.jump.to.another.randomly.generated.valid.position.through.the.