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。
As a combinatorial optimization problem, three dimension packing problem with multi-constraints is NP-HARD problem. It is very difficult to obtain an optimal solution.
作为一类组合优化问题，多约束条件下的三维装载问题属于NP - Hard问题，其求解也是相当困难的。
Some problems have been found in classical optimization methods to solve high dimension, multi-modal and other complex systems.
传统的优化方法在处理大维数、多模态等复杂问题上存在诸多不足。
To improve product quality and reduce manufacturing cost, an optimization approach for multi-process dimension and its tolerance was put forward.
为提高产品制造质量、降低产品制造成本，提出了一种多工序尺寸及公差的优化方法。
To improve product quality and reduce manufacturing cost, an optimization approach for multi-process dimension and its tolerance was put forward.
为提高产品制造质量、降低产品制造成本，提出了一种多工序尺寸及公差的优化方法。
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