1) ordered dependent variable model
排序因变量模型
2) variable ordering
变量排序
1.
Multi-level Neighborhood-based Variable Ordering Heuristics for Large-scale Job Shop Scheduling;
大规模Job Shop调度的多级邻域变量排序算法
2.
In order to employ variable ordering of constraint satisfaction technology,this paper presents five indexes as well as related parameters to describe the features of Job-shop scheduling problems.
针对约束满足求解技术中的变量排序,提出了量化Job-Shop调度问题特征的5项指标和相关参数。
3.
The algorithm combines the global search ability of genetic algorithm with the neighborhood search strategy of tabu search to find the optimal BDD variable ordering with which BDD can achieve size minimization.
该算法将遗传算法的全局搜索能力和禁忌搜索的邻域搜索策略相结合来寻找BDD的最优变量排序,以实现BDD结点规模最小化。
3) Array variables
排序变量
4) scheduling model
排序模型
1.
According to the property of triangular fuzzy number,a tabu search(TS) algorithm about the scheduling model nondeter ministic polynomial hard (NP-hard) of 1fuzzymin∑ni=1C_i was constructed under the condition of restricted makespan fuzzy extent.
根据三角形模糊数的特性,在对总加工时间模糊度有约束的条件下,构造出NP-困难的1 fuzzy min∑ni=1Ci排序模型的禁忌搜索(TS)算法。
2.
According to the property of triangular fuzzy number,a genetic algorithm and a scheduling model NP-hard of 1fuzzymin∑ni=1Ci were constructed under the condition of total processing time with restricted span fuzzy extent.
根据三角形模糊数的特性,在对总加工时间模糊度有约束的条件下,构造出NP-困难的1 fuzzy m in∑i=1Ci排序模型的遗传算法。
5) model of binary dependent variable
二元因变量模型
1.
In order to analyses and research the financial situation of listed companies, this paper tries to make full use of the model of binary dependent variable and also uses the forecasting probability to evaluate the fiancial foundation of listed companies.
文章采用了二元因变量模型对上市公司的财务状况进行分析和研究 ,并可以利用模型得出的预测概率来评价上市公司的财务状况 ,进而为我们分析上市公司的信用状况提供依据。
6) ranking of fuzzy quantities
模糊量排序
补充资料：变量与变量值
可变的数量标志和所有的统计指标称作变量。变量的数值表现称作
变量值，即标志值或指标值。变量与变量值不能误用。
变量值，即标志值或指标值。变量与变量值不能误用。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条