基于遗传算法的产品参数优化配置

当前,虚拟样机技术在产品开发领域已经得到广泛的应用,但在确定产品参数配置关系时,虚拟仿真技术仍然存在重复性高、效率低等问题.基于遗传算法及ANSYS和CATIA的二次开发技术构建了一个分布式仿真系统,该系统首先在服务器端使用遗传算法产生相应的产品参数,并在各客户端驱动产品模型,进行仿真,随后仿真结果传回服务器,系统对结果进行评估.如此反复,直到得到满足条件的参数配置.该系统集成两种软件的仿真功能,实现了产品参数的自动优化配置,并提高了产品的设计质量.

Optimizing configuration of product parameters based on genetic algorithm

Currently,virtual prototype technique has been widely applied to the fields of product development.But in the aspects of confirming the parameters configuration of product,virtual prototype technology still has some drawbacks like high repetition and low efficiency.A collaborative simulation system is constructed based on genetic algorithm and secondary development technology of ANSYS and CATIA.The system produces the parameters of the product by genetic algorithm on the server,then drives the simulation models on the client and sends the results of simulation to the server.After the evaluation of the results,the system will produce new parameters if the stopping situation is not satisfied.The process will repeat until the satisfied parameters configuration is obtained.The system integrates the simulation of two kinds of software;and realizes the auto-optimization of parameters configuration and improves the quality of the product.