Engineering Optimization: Theory and Practice, Fourth Edition

(Martin Jones) #1

454 Nonlinear Programming III: Constrained Optimization Techniques


Figure 7.15 Graphs ofφk.

methods that can be used to solve a general class of problems.

Minimizef (X)

subject to

gj( X)≤ 0 , j= 1 , 2 ,... , m

lj( X)= 0 , j= 1 , 2 ,... , p

(7.227)

7.18.1 Interior Penalty Function Method


Similar to Eq. (7.154), the present problem can be converted into an unconstrained
minimization problem by constructing a function of the form

φk= φ(X, rk) =f(X)+rk

∑m

j= 1

Gj[gj( X)]+H(rk)

∑p

j= 1

l^2 j(X) (7.228)

whereGj is some function of the constraintgj tending to infinity as the constraint
boundary is approached, andH(rk) is some function of the parameterrk tending to
infinity asrktends to zero. The motivation for the third term in Eq. (7.228) is that as
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