在现实工程情况下存在大量复杂系统的设计问题，而这些问题都可以抽象为多目标优化问题。
There are many problems of complex system design in engineering, which can be abstract to multi-objective optimization problems.
针对这一问题，建立了以起升机构占用空间最小和行星齿轮减速机构用材最少为目标的多目标最优化数学模型。
Aim at the problem, this paper establishes the mathematical model of multipurpose optimization to made hoisting mechanism to occupy minimum space and planet gear to use minimum material.
若将加权阵当作设计参数，则控制系统的设计可以表示为一个满足一组不等式约束的多目标优化问题。
With the weighting function matrix as design parameters, the design of a control system can be expressed as a multi-objective optimization problem with inequation constraints.
利用加权切贝雪夫方法，将多目标优化问题化简为单目标优化问题。
The problem of multiobjective optimization is simplified to that of scalar objective optimization by weighted Tchebycheff procedure.
研究了漏检情况下多传感器多目标检测中的数据关联问题，并将其描述为数学规划中组合最优化问题。
This paper studies the problem of data association in multisensor multitarget detection under the condition of leakage and describes it as combinatorial optimization in mathematical programming.
结果建立起了ASA问题的一个多目标整数规划模型，为后续优化算法研究奠定了基础。
Results An multiobjective programing model based on integer programming for ASA problem is established, which serves as the foundation for later researches on optimizing algorithms.
讨论凸多目标最优化问题的严有效解，建立了拉格朗日乘子定理，并把严有效解表示为一个适当的拉格朗日函数的鞍。
We establish a Lagrange multiplier theorem for strict efficiency in convex settings and express strict points as saddle points of an appropriate Lagrangian function.
把制造企业动态联盟合作伙伴的选择抽象为多目标优化的问题，并建立了优化选择目标函数。
The selecting partners of the manufacturing enterprises dynamic alliance being the problem of multi-target optimizing, the target function of optimizing selecting was created.
把制造企业动态联盟合作伙伴的选择抽象为多目标优化的问题，并建立了优化选择目标函数。
The selecting partners of the manufacturing enterprises dynamic alliance being the problem of multi-target optimizing, the target function of optimizing selecting was created.
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