Jumping Gene Computational Approach - Multiobjective Optimization Methodology: A Jumping Gene Approach - page 44

transposon

C

a b c d e f g Before

transposon

C

a f g d e f g After

pasted element

(a) Same chromosome

transposon transposon

C 1 C 1

a b c d e f g

a b c d e f g

C 2

t u v w x y z

C 2

t u v w b c z

pasted element

Before After

(b) Different chromosomes

Figure 3.11
Copy-and-paste. operation.. (From. Man,. K.. F.,. Tang,. K.. S.,. Kwong,. S.,. Jumping-genes. in. evo-
lutionary. computing,. in. Proceedings 30th Annual Conference of the IEEE Industrial Electronics
Society ,.2004,.Busan,.Korea,.1268-1272.)

cut-and-paste.or.copy-and-paste.operation..The.overall.flowchart.of.transpo-
sition.is.given.in. Figure 3.14 .
The.two.JG.operations.are.to.be.applied.after.parent.selection.but.before.
crossover,.as.shown.in. Figure 3.15 .
Therefore,.this.maintains.the.integrity.and.the.basic.flow.of.the.original.GA.
with.the.least.modification..It.was.also.demonstrated.[6].that.it.outperforms.the.
conventional.GA.for.a.large.set.of.constrained.and.unconstrained.multiobjec-
tive.optimization.problems,.for.which.details.are.presented.in. Chapter.5 .

3.3.4 Some remarks

As. compared. with. other. operations. described. in. Section. 3.2,. the. described.
JG.operational.approach.is.much.more.general..For.example,.conjugation.and.