一种基于代理模型引导采样的多目标优化方法

针对复杂的实际工程多目标优化问题，提出代理模型引—手采祥的多目标优化方法。通过自适应的加强径向基函数构造的代理模型寻找Pareto优化解集，从找到的解集中通过一定策略筛选出部分作为样本点加入到下代样本空间中，样本点随着迭代的进行越来越靠近全局Pareto最优解集。从当前所有样本点中获得Pareto解，并根据其分布情况作为收敛条件。该方法中代理模型仅仅用来引导采样，也不需要反复计算大量样本点验证代理模型的精度，得到的解都被实／承模型验证过。在雌利害目标测试函数中体现了精度和效率。最后成功应用于薄板冲压成形变压边力优化中，表明了具有解决多目标实际工程优化问题的能力。

Multi-objective Optimization Method Based on Surrogate Model Guiding Sample

In order to deal with engineering design problem with computation-intensive black-box functions,a multi-objective optimization method based on the surrogate model guiding samples was proposed.Some Pareto solutions from the surrogate models built by adaptive extended radial basis functions were selected and added to the samples space for the next iteration.In that trend,the samples were more and more close to the Pareto solutions of actual problem.According to the distribution of the Pareto solutions obtaine...