启发式方法

It modifies the rule of updating pheromones in ACA,so that after every round of search,the increment of pheromone can better reflect the quality of a solution to quicken the convergence;In addition,it uses the heuristic mutation to optimize tours,generate disarrangement effect and avoid precocity.

它修改了基本蚁群算法中信息素的更新规则，使得每轮搜索后信息素的增量能更好地反映解的质量，以加快收敛；另外，它采用了一种启发式变异方法对路径进行优化，以产生搅动效应，避免早熟。

According to the symmetry of the definition domain, a scheduling-order is defined, and a branch and bound algorithm is designed to search for an optimal solution in the scheduling-ordered sub-domain.

引入成组工作调度中的"运行"思想，提出组调整交货期的概念，导出了资源能力平衡的迭代推算方法和工作成组形成运行的规则，并设计了相应的启发式算法。

According to the special structure of the problem, an optimization-based heuristic for its solution is proposed.

根据问题的特殊结构，提出了求解该问题的一个基于最优化方法的启发式算法。

Finally, a system is designed to realize the method of simulation optimization based on heuristic transformation.

通过系统分析、系统设计的方法建立系统，实现基于启发式变换的仿真优化算法。

This method is mainly based on heuristic strategies and genetic algorithm.

该方法基于启发式递归策略和遗传算法。

This paper presents a multi-objective method for reconfiguration of distribution network, which is based on Genetic Algorithm and Heuristics Algorithm.

提出一种基于遗传算法和启发式算法的方法来解决多目标配电网重构问题。

Based on the criticism of the flaws traditional teaching has, suggestive teaching is a new and sophisticated heuristic method with the characteristics of utilizing the indirect and implicative suggestive method to affect students' psychology and behaviors.

暗示教学是在批判传统教学缺陷的基础上建立起来的一种新型的高层次的启发式教学法，其特点是用含蓄的间接的暗示方法对人的心理和行为产生影响。

The paper analyses material transportation problem and give the solvable methods; analyses delivery vehicle route problem, and then construct its corresponding mathematical model and present a heuristic algorithm based on C—W algorithm; analyses the optimum scheduling problem of trucks, and then construct its corresponding mathematical model and put forward a new algorithm; analyses the Postal Transportation Problem which will perhaps be used in supply chain of manufacturing system, and then construct its corresponding mathematical model and present an approximation algorithm.

分析了制造系统供应链中供需平衡、供需不平衡、有转运等各种情况下的物资调运问题，给出了求解方法；分析了制造系统供应链配送作业中的配送车辆路线问题，建立了相应的数学模型，提出了一种基于C-W算法的启发式算法，该算法较好地解决了有时间约束的配送问题；分析了制造系统供应链中的货运卡车优化调度问题，建立了相应的数学模型，提出了一种基于表上作业法的求解算法；分析了制造系统供应链中有潜在利用价值的邮政运输方式问题，在详细描述了该问题的基础上，建立了相应的数学模型，提出了一种近似求解算法，该算法较好地解决了邮政运输方式这样的多种物流、多种运输方式，有严格时限和众多外部约束的特大型、复杂、并行的交连系统的计划调度问题。

Meanwhile, the new research direction about solving NP-hard problems by the method of matrix transformation does make sense.

提出的概率转移矩阵、基于启发式变换的仿真优化方法对同类问题的研究具有借鉴作用。

On the base of applied tech. and system structure, the key tech. are expressed in detail. It includes:Knowledge representation technology: it is described in two stages by "Depictive frame + Rule group"."Depictive frame" is used to reflect the factors concerning question field."Rule group" reflects the son-question in question field; knowledge management system: it is made up of knowledge-base editing component, factor classifying component, knowledge inspecting component and extractive knowledge component; uncertainty reasoning adopt method of elicitation search strategy and data drive controlled by member knowledge. It take reliability of compound proof at first. That can resolve the matching contradiction. Reasoning explanation introduce pre-text and followed method of resolving path. Knowledge discovery component take SLIQ as basic arithmetic. It provides classification model in two stage forms which aim at training suit. That is decision tree and productive rule.

在确定应用技术与系统结构的基础上，重点阐述了本文的核心技术，这包括：知识表示技术，采用"描述框架+规则组"的层次结构，"描述框架"用于描述问题域所涉及的因素，"规则组"反映问题域内的子问题；知识管理系统，由知识库编辑构件、因素分类构件、知识检测构件和知识求精构件组成；不确定性推理机采用启发式搜索策略，元知识控制的数据驱动，以复合证据可信度优先作为匹配冲突消解的策略，推理解释采用预置文本与求解路径追踪的方法；知识发现，采用SLIQ快速可伸缩算法，分类模型用判定树与产生式规则两种形式描述。

In this paper, the requirement analysis, design and implementation of the system are introduced in detail.

此论文详细介绍了系统的需求分析，系统设计和具体实现。

In the context of economic globalization is increasingly deepening, China's economy can not be spared.

在经济全球化日益加深的背景下，中国经济不可能做到独善其身。