We want to compare the optimization method as applied in Lu et al., 1999 [1] with a number of alternative optimization strategies. Ideally, we would make use of an existing academic or commercial application of this method. The algorithm is named "simplex method with restricted basis entry rule" and is used to solve an approximating linear program (ALP) which approximates the actual nonlinear problem. Any suggestion on how this algorithm can be obtained, apart for implementing it ourselves, is welcome. Ideally, we would use this algorithm as a subroutine within Matlab/Octave.
[1] IEEE Transactions on Neural Networks, 10, 6, 1999, 1271-2290.
Thanks for the feedback. My main objective is to fully understand the particular modifications implemented by these researchers as they are designed particularly for the structure of the optimization problem. Some of the problems I work on have a very similar structure. I have been using Tomlab/Cplex for optimization and I agree that it works well.
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