Performance Measures on Jumping Gene - Multiobjective Optimization Methodology: A Jumping Gene Approach - page 113

5

True Pareto-optimal
front
NSGA2

4

SPEA2

3

NPGA2

MOGA

2

PAES

MICROGA

1

JG

0

0 1 2 3 4 5

f1
(a)

1.2

True Pareto-optimal
front
NSGA2

1.0

SPEA2

0.8

NPGA2

0.6

MOGA

0.4

PAES

MICROGA

0.2

JG

0.0

0.0 0.2 0.4 0.6 0.8 1.0 1.2

f1
(b)

30

True Pareto-optimal
front
NSGA2

25

SPEA2

20

NPGA2

15

MOGA

10

PAES

MICROGA

5

JG

0

0 5 10 15 20

f1
(c)

Figure 5.2 (See COlOr iNSerT.)
Sample.nondominated.solution.sets.for.unconstrained.test.functions.with.binary.coding..(a).
SCH;.(b).FON;.(c).POL;.(d).ZIT1.(binary.code);.(e).ZIT2.(binary.code);.(f).ZIT3.(binary.code);.(g).
ZIT4.(binary.code);.(h).ZIT6.(binary.code).