In recent years, the issue of linkage in GEAs has garnered
greater attention and recognition from researchers. Conventional
approaches that rely much on ad hoc tweaking of parameters to
control the search by balancing the level of exploitation and
exploration are grossly inadequate. As shown in the work reported
here, such parameters tweaking based approaches have their limits;
they can be easily fooled by cases of triviality or peculiarity of
the class of problems that the algorithms are designed to handle.
Furthermore, these approaches are usually blind to the interactions
between the decision variables, thereby disrupting the partial
solutions that are being built up along the way.
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