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1)  inferior solution
劣解
2)  non-inferior solution
非劣解
1.
In multi objective-decision making problems,satisfactory solution often need to be searched in non-inferior solution set.
在多目标决策问题中,满意解常常要在非劣解中寻找。
2.
For example, the well-known weighting method is time-consuming and also easy to leave out some part of total non-inferior solution set.
对多维的多目标线性规划问题,研究了非劣解的特性和非劣解生成的"最小减优率法"。
3)  no-inferior solution set
不劣解集
1.
The method transfers the multi-objective optimization into a number of single models constituting the no-inferior solution set of the model.
此方法首先应用约束法将多目标优化模型转换成多个单目标优化模型,采用动态规划法求单目标优化模型的解,得到多目标优化数学模型的不劣解集,在此基础上,提出了一个评价多目标方案的决策偏好系数,并以决策偏好系数为依据,从不劣解集中选择多目标优化数学模型的最优解。
4)  noninferior solution
非劣解
1.
From the fact that multiobjective programming with indefinite phases has usually only noninferior solutions, the concepts of the noninferior compound matrix of phase return and the recurrence matrix for multiobjective programming with indefinite phases were put forward.
针对不定期多目标规划问题,指出其一般只存在非劣解的性质,提出了不定期多目标阶段收益非劣合成矩阵、不定期多目标递推矩阵等概念。
2.
The noninferior solution of mutiobjective decision problem is discussed based on a proposed simple mathematical model of city bus planning.
给出公交车调度问题的简便数学模型 ,并对多目标决策问题的非劣解进行讨
3.
A genetic algorithm is developed for calculating noninferior solutions of multiobjective optimization in this paper It shows that the method is efficient in a numerical experiment.
针对多目标、最优化问题解的特点,本文设计了一种遗传算法,可用于求解多目标最优化问题的部分非劣解
5)  Pareto set
非劣解集
6)  dominated penalty
劣解罚项
1.
This paper presents a constrained multiobjective optimization method by integrating a Pareto genetic algorithm with dominated penalty concept.
该方法提出了劣解罚项的概念 ,把劣解罚项和约束罚项之和作为设计点的总的罚项并将其转化为适应度 ,采用遗传算法进行求解。
补充资料:驳驳劣劣
1.莽戆。
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