这样做主要是为了方便观察者，因为规则引擎优化算法足够强大，能够优化规则匹配。
Doing so is mostly for human observers, as rule-engine optimization algorithms are sufficiently powerful to optimize rule matching.
结合故障精简，本文通过编码压缩、变化终止规则等方法进一步优化了全速电流测试方法的测试产生算法。
Besides fault collapsing, this paper also proposes some techniques, such as code collapsing, change of the ending rules to optimizing the test generation algorithm.
根据这些算法和关系代数等价定理，给出了对关系代数查询树进行逻辑优化的规则，并证明了逻辑优化的正确性。
With these algorithms and the equivalence theory, the several rules to logically optimize the accessing trees were presented and the correctness for the logical optimization was proved.
模糊优化算法中隶属函数的确定及专家系统中专家的知识、经验和规则的获取都是棘手的问题。
It is difficult to determine the membership function in fuzzy optimization method and to obtain the knowledge, experience and rules in expert system.
终止规则在优化算法中起着十分重要的作用。
Stopping rule plays a very important role in optimal algorithm.
提出了一种二层学习算法来优化模糊规则基。
This paper proposes a hierarchical learning algorithm for optimizing fuzzy rule bases.
在此基础上提出了采用遗传算法对压实参数模糊控制规则进行优化的新思路。
We also propose novel ideas in optimizing the fuzzy control rules, using genetic algorithms.
利用差分进化算法求解该优化问题，并利用可行性规则处理约束。
The optimization problem was solved by differential evolution and the constraints were handled by feasibility-based rule.
由于关系数据的竞争聚集算法能得到优化的固定的聚类个数，因此能挖掘出优化的模糊关联规则。
The optimal fuzzy association rules can be mined due to the optimal fixed clustering number that can be obtained by the relational competitive agglomeration algorithm.
在算法实现的过程中对关联规则集存储结构进行了优化，并扩展了类sQL查询语句。
Based on the mined association rules, this algorithm optimizes the storage structure of association rules, a nd extends SQL-like query statement.
类似于关系系统RTQP提供了在MMDB环境下节省内存的查询处理的实现算法，以及遗传算法和实时数据库规则相结合的查询优化方案。
Similar to relational systems, RTQP provides an algorithm for saving main memory space under the MMDB, and a query optimization integrated the rules in RTDBs and the GAs.
文章提出了一种并行存储反应调度算法，它是基于存储访问建模的和基于规则的存储自动优化算法。
This paper proposes a novel parallel I /O reactive scheduling optimizing algorithm. It's access pattern modeling and optimization-rule based automatic optimizing algorithm.
利用遗传算法研究了一类切换规则只由状态决定的切换系统的控制器优化设计问题。
This paper deals with the design and optimization of a kind of switching controller, whose switching law is determined by states.
混合优化策略首先根据堆箱规则构造集装箱堆栈目标状态，然后运用改进广度优先算法搜索搬箱步骤。
The system builds firstly the objective state of the container stack on the principle and then searches for the steps of turning box using the non-conventional breadth-first search algorithm.
文中给出了融合系统检测性能最优化的必要条件，以及求解最优系统判决规则的数值迭代算法。
The necessary conditions for optimum detection for the distributed detection systems are derived, and a numerical iterative algorithm for obtaining the optimum sensor decision rules is presented.
研究了AGV调度系统的调度规则及路径规划，采用遗传算法进行路径优化得到较优的行走路线。
The schedule rules and route planning of AGV schedule system are studied, and the more optimized routing is obtained with GA.
最后，论文提出采用遗传算法对模糊控制规则进行优化设计。
At last, the thesis suggests using the method of Genetic Algorithms to optimize the rules of fuzzy control.
在原有标准蚁群算法的基础上采用了新的状态转移规则，讨论了各种不同的轨迹更新规则对仿真结果的影响，并通过统计数据验证了改进型蚁群算法优于标准的蚁群优化算法。
The novel transition rule and the different pheromone reinforcement rules are discussed in this paper when ant colony systems are applied to minimizing the make-span in job shop scheduling problem.
它使用负筛选算法来生成检测规则，并不断地进行检测规则优化以剔除冗余的检测规则，保留高效的检测规则。
The intrusion detection system employs negative selection algorithm to create detectors, optimizes them continuously and maintains efficient memory detectors.
文中给出了融合系统检测性能最优化的必要条件，以及求解最优系统判决规则的数值迭代算法。
The necessary conditions for optimum detection for the distributed detection systems are derived, and a numerical iterative algorithm for obtaining the optimum sensor decision rul...
对于用近似算法求得的出分枝，又结合前面的规约规则设计了优化规则，以进一步通过优化变换增加出分枝的叶子节点。
An approximation algorithm was given to find an out-branching with many leaves in the reduced digraph. Furthermore, some optimization rules were given to improve the out-branching.
对于用近似算法求得的出分枝，又结合前面的规约规则设计了优化规则，以进一步通过优化变换增加出分枝的叶子节点。
An approximation algorithm was given to find an out-branching with many leaves in the reduced digraph. Furthermore, some optimization rules were given to improve the out-branching.
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