Object oriented approach in optimization of fuzzy transform
František Huňka, Viktor Pavliska · Annual Conference on Computers · 2008
The paper deals with the design, implementation and testing of the object oriented framework for optimization using genetic algorithms. The framework is designed in layers to truly depict both the model domain and the application. The two bottom layers represent the framework and the third top layer represents the user application. The framework is built by gradual specialization of the design classes. The framework can be used for broad collection of genetic algorithms and for similar optimization algorithms, which solutions are based on populations possible solutions too. The designed framework was tested on optimization of the fuzzy transform and the achieved results are attached to the paper. In the design of the framework benefits of object oriented approach are utilized such as encapsulation, hierarchical structuring of the problem domain and inner classes.