x
|
vector of decision variables |
Fj(x) |
jth indicator function, j = 1 … n |
F(x) |
vector of all n indicator functions |
Cx
|
constraint set for the decision variables |
CF
|
convexified set of feasible indicator function vectors |
v, y, z
|
used to denote points in indicator function space,
|
vi, i = 1 … m
|
m points in indicator function space representing the Pareto surface |
CH(v1, v2, … , vm) |
convex hull of the m representing points. Serves as approximation of CF
|
d(z → y) |
distance (one sided maximum norm) from z to y
|
d(z → S) |
distance from z to the set S
|