Constraint solving approach based on Differential Evolution Algorithm for geo-visualization variant design method

Current environment of geo-visualization still has some disadvantages which mainly are: visualization entity model is not easy to be built; system software cannot support rapid modification and effectively reuse of former results; system platform cannot support consistency maintenance of visualization models. The theory and method of variant design, which has a public optimization feature, was proposed in this paper to get a better solution than parametric design method. The kernel concept of variant design and parametric design is “constraint solving” for constraint adding, deleting and maintenance. Based on the synthetic analysis and comparison of various constraint solving algorithms, the geometric constraint solving method based on Differential Evolution Algorithm (DEA) was introduced. The relative system function model and DEA procedure were put forward. Case studies of some typical graphics designs were discussed. The result indicates that variant design method can be effective in building the flexible generation environment for representation and visualization modeling of geo-spatial information.