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The optimization process, for instance, in automobiles and machineries is popular and it is comparatively easy to translate objective functions and constraints involved in optimization into mathematics.This is, however, not always true in many other products.Examples for these are products for sports, hobby, textiles and all other human-close products.On such markets,human sensitivity, touch feeling, fashion, handling usability, color, taste, favor, amenity and comfort are decisively important for hit-selling products.Tough in these products is to mathematically treat human factors in optimization.The precise optimization modeling based upon nonlinear finite element scheme may be sometimes not practical in the sense that the translation from human factors into equations is not well established.It may be especially not clear and unknown what should be optimized in such products and the objective function itself is not clearly established in different values.In all these cases, the computational models need not to be unnecessarily precise and a simple optimization model may be preferable for better global view to find the approximation for the best shape of the product.