In the paper, GBGM-GA is seen the optimization technique combining KPCA and GA, and is suitable to the optimization selection of kernel function parameter.
本文采用高斯变异遗传算法作优化技术，实现了KPCA和GA的集成，适合核函数参数的优化选择。
Using explicit dynamic FEM as a solver, process parameter optimization design on laser bending of rectangular sheet metals was conducted with genetic algorithms (GA).
提出了一种以动态显式有限元为解算器，并采用遗传算法对矩形板激光弯曲成形工艺参数进行优化设计的方法。
The process of the parameter optimization design based on GA was introduced and briefly discussed in many of its respects.
结果表明：遗传算法可适用于多设计变量、多设计目标的柴油机喷油系统参数优化设计。
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