Research on Parametric Modeling and Simulation of Mechanical Products Based on Multi-Objective Genetic Algorithm

Parametric modeling and design of mechanical products is a multi-factor, multi-link and complex decision-making process, in order to shorten the development cycle of new products and improve the design quality to adapt to market competition. For most mechanical products, most of them belong to adaptive design, and only a small part need new design. With the continuous development of feature modeling technology, feature modeling technology and constraint-based parametric design technology are gradually integrated, and mechanical product parametric design technology, or constraint-based parametric feature modeling technology, has emerged. In this regard, this paper uses MOGA (Multi-objective genetic algorithm) to test the comparison between the model output and the actual output, and will implement software pipelining, loop unrolling and other optimization loop methods; The option is program-level optimization. The actual output value after optimization is better than the output value before optimization. It can be seen that the optimizer can access the whole program to understand the number of cycles, enable symbol debugging and assembly source statement debugging. Reasonable selection and combination of the above compilation options can directly affect or control the optimization process and improve the output code optimization performance.