Three dimension packing problem with multi constraints is a complicated combinatorial optimization, and is NP HARD problem. It is difficult to obtain on optimal solution.
多约束条件下的三维装箱问题是一个复杂的组合优化问题，属于NP- HARD问题，其求解是很困难的。
An optimization method for reasoning results is presented, such as recursive grey fitting model for single sequence and attribute correlativity model for multi-dimension data.
分别在单序列时建立递进灰拟合模型，在多维数据集时利用属性相关性，对插值结果进行学习优化。
The parameter optimization of crop growth models is a multi-dimension, nonlinear and complicated optimization problem.
作物生长模型的优化是高维、非线性的复杂优化问题。
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