1) variable ordering heuristics
变量排序启发
1.
Based on operation start probability,in-dividual demand probability of operation for machine,and machine aggregate demand,a new variable ordering heuristics is built.
该文提出了搜索空间的概率模型,并以模型中的工序开工概率、工序对机床的独立需求概率和机床累计需求三个评价因子,构造了新的变量排序启发算法。
2) Operation Ordering Heuristics
工序排序启发
3) 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。
4) Array variables
排序变量
5) goal ordering heuristic
目标排序启发式
1.
Study on goal ordering heuristic based on distance;
图规划基于距离的目标排序启发式
6) dynamic heuristic ordering algorithm
动态启发式排序算法
1.
This paper overviews the achievements and develepment trends of binary decision diagrams(BDD) optimization, focusing on exact ordering algorithm and dynamic heuristic ordering algorithm, and some proposals are given to improve the BDD optimization algorithm: taking advantage of non-complete enumerating method and utilizing the strategy of stochastic process dynamic programming.
对近年来二叉判定图 (BDD)最优化算法的成果和发展趋势进行了综述和讨论 ,重点介绍精确排序算法和动态启发式排序算法 。
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