Proofs of Lemmas in Chapter 4 - Multiobjective Optimization Methodology: A Jumping Gene Approach - page 227

True Pareto-optimal set - TAN True Pareto front - TAN

1.2 1.2

1.0 1.0

0.8 0.8

f 2

x 2 0.6 0.6

0.4 0.4

0.2 0.2

0.0 0.0

0.0 0.2 0.4 0.6 0.8 1.0 1.2

0.0 0.2 0.4 0.6 0.8 1.0 1.2

f 1

x 1

(d) TAN

True Pareto-optimal set - BINH

True Pareto front - BINH

5 50

4

40

3

30

x 2 f 2

2 20

1 10

0 0

0 50 100 150 200

0 1 2 3 4 5

x 1

f 1

(e) BINH

Figure b3 (CONTiNueD)

Reference
.

1.. Chan,.T..M.,.Man,.K..F.,.Kwong,.S.,.Tang,.K..S.,.A.jumping.gene.paradigm.for.
evolutionary. multiobjective. optimization,. IEEE Transactions on Evolutionary
Computation ,.12(2),.143-159,.2008.