LAND 655 Project 2: Optimize mesh cells with generic algorithm and scripting
Presentation Video This study aims to optimize the mesh cells to make the mesh edges approach same lengths. Method 1 is to use kangaroo physic simulator and Galapagos solver to find the most appropriate rest length and strength of mesh edges as springs, in order to achieve the lowest standard deviation of edge lengths. The lowest standard deviation of mesh edges represent the situation that mesh edges are most similar to each other and least deviated from the average length. Method 2 will calculate the new position of each mesh vertex based on the middle point of its six closed neighboring vertices on the mesh. The method 2 process will repeat in multiple loops until the standard deviation reach the lowest value possible. Method One: Mesh relation with Kangaroo and Galapagos solver The graph below shows the basic model of this method. The rest length and spring strength are used as the genomes of Galapagos solver, which will be input variables. The standard deviation of mesh edge le