Example
1
The example
is convex and involves a single objective function, simple
bounds on the design variables, a nonlinear inequality constraint,
and a linear equality constraint. The objective is
The constraints are
A feasible initial guess is
with corresponding value of
the objective
The global minimizer is
with
example1.pds
dv
x1 x2 x3
ob f
ic c1
ec c2 |
example1.ini
x1
= 0.1
x2 = 0.7
x3 = 0.2
bl = zeros(3,1) |
example1.sim
f
= (x1+3*x2+x3)^2 + 4*(x1-x2)^2
c1 = x1^3-6*x2-4*x3+3
c2 = 1-x1-x2-x3 |
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Last modified:
February 21, 2005
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