Abstract: The finite element analysis toward complex geometrical model is always a time-consuming task. How to reduce the computation cost with required result precision turns out to be a research focus. The theory of Multi-State Model is introduced to solve this problem, whose key technique is to generate appropriate model state which has critical influence upon computation cost. Since holes in model will contribute largely to huge computation task, based on the technology of feature remove, appropriate simplification strategy toward holes in model is researched, and computation task and result precision of the generated model state are evaluated respectively. A preliminary summary on factors that have relation to result precision and computation task is given in this paper. Multi-Objective problems can be transferred to Single-Objective problems according to classical Multi-Objective resolution, so the most appropriate model state can be gained by using selection algorithm after the establishment of selection criterion.

Key words: computer application, model state generation strategy, genetic algorithm, finite element model