多目标优化设计的灰色—混合离散变量寻优算法

THE OPTIMIZATION ALGORITHM OF GRAY ANDMIXING DISCRETE VARIABLES IN MULTI OBJECTIVE OPTIMUM DESIGN

根据机械产品对多目标优化设计的更高需求，提出了灰色—混合离散变量多目标寻优算法。此算法把多目标寻优的高维问题简化成低维问题处理，寻优效率高，并且能分析寻优过程的变化态势和利用贫信息作定性分析。此算法不仅注意在启发式搜索技术上有所突破，而且注重跨学科、跨领域新兴寻优技术的最优组合。最后运用工程实例介绍这一算法的应用。

According to the higher requirement of multi objective optimum design of mechanical products, the optimization algorithm of gray mixing discrete variables is given. In the algorithm, the multivariate problems in multi optimal design are changed into less variables ones, so being efficient, and the optimization process can be analyzed, and the problems are qualitatively analyzed by poor information. The algorithm has not only made the breakthrough in searching technology for elicitation method, but it has also carried out the optimum unit of new technology on transsubject and transfield. Then, an engineering example is adopted to introduce the use of the algorithm.