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4.2.9 GA Algorithm Performance     continued...

In this particular example, the GA has been successful in locating the global optimum, but it must be noted that GAs are often found to experience convergence difficulties. In many applications GAs locate the neighborhood of the global optimum extremely efficiently but have problems converging onto the optimum itself. In such instances a hybrid algorithm, for example using a GA initially and then switching to a low temperature SA search, can prove effective.

The code used in this example is mo_ga.f. It uses input data available in file mo_ga_in.dat. Both of these files may be viewed with an html browser. To view copies of these files, click on their names here: mo_ga.f, mo_ga_in.dat)