Numerical Experiments with a Continuous L2-exponential Merit Function for Semi-Infinite Programming

摘要

Here, we present some numerical experiments with a reduction method for solving nonlinear semi-infinite pro-gramming (SIP) problems. The method relies on a line search technique to ensure a sufficient decrease of a L2-exponentialmerit function. The proposed merit function is continuous for SIP and improves the algorithm efficiency when compared withother previously tested merit functions. A comparison with other reduction methods is also included.