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Concluding remarks
A method for introducing variable coupling was introduced: information on auxiliary variable distributions is used to complement the design variable distribution
The modified algorithm was applied to a simple laminate optimization problem: mixed results were obtained
Potential causes of the relatively disappointing results:
- LP-selection limits exploration in certain cases
- the variable transformation introduces a distribution drift
- Test problem not coupled enough to demonstrate the benefit of the method
The implementation can be improved, but the approach is promising
The method can be extended to other areas where auxiliary variables can be introduced