蚁群算法是一种新颖的求解复杂组合优化问题的模拟进化算法，它具有典型的群体智能的特性。
Ant Colony algorithm is a novel simulated evolvement algorithm solving complicated combinatorial optimization problem and its typical feature is swarm intelligence.
因此，应用该混合智能算法求解0 - 1背包问题是比较有效的。
Therefore, the hybrid intelligence algorithm is effective to solve 0-1 knapsack problems.
进化算法是一类模拟生物进化过程和机制求解优化问题的自适应人工智能技术。
Evolutionary algorithm is a type of adaptive artificial intelligent techniques that simulate evolutionary process and mechanism to solve optimization problems.
定量问题求解系统，是人工智能和专家系统研究领域的一个重要课题。
Quantitative problem solving system is one of the research topics in the area of artificial intelligence and expert systems.
专家系统作为人工智能技术的一个重要分支，己经成为工程技术领域复杂问题求解的重要手段。
As an important branch of artificial intelligence technology, expert system has become the main method to solve complex problems in engineering.
进一步提出了面向智能概念设计的多主体协同工作模型，用于分布式的复杂概念设计问题求解。
In this thesis, a CSCW model based on Multi-Agent System (MAS) supporting intelligent conceptual design is put forward, which can be used to solve the distributed complex conceptual design problems.
从一定意义上来说，这就是人类问题求解过程中智能之所在。
In a sense, it is the intelligence in the process of human problem solving.
介绍了利用CAD、网格自动剖分和人工智能技术相结合进行航空薄壁结构有限元建模的问题求解框架。
Based on CAD, automatic mesh generation and AI reasoning techniques, the problem solving framework for finite element modeling (FEM) of aeronautical thin wall structures is introduced.
蚁群算法是一种新型的用于求解组合优化或函数优化问题的智能优化算法。
Ant colony algorithm is a new intelligent optimization algorithm for solving combinatorial optimization problem or function optimization problem.
智能优化控制技术是以数学、计算机为基础，用于求解各种工程问题优化解的应用技术。
Based on mathematics and computer technology, an intelligent optimization control technology is used to find the optimized solution of many engineering projects.
随后详细介绍和讨论了工程应用中问题求解技术及智能技术的集成求解策略。
Then, the problem-solving technique for engineering application and the integrate solving strategy for intelligent technique is introduced and discussed in details.
几何约束求解是智能CAD的核心问题，在研究装配模型的基础上提出了一种基于组件思想的约束求解策略。
Geometry constraint solution problem is the core of intellect CAD system. Here a new method was proposed for solving it based on the idea of assembling the divided components.
对于车间制造技术，论文使用群智能算法求解车间的设备布局优化问题。
Regarding the workshop technique of manufacture, the swarm intelligence algorithms are used to solve the facility layout optimization problem.
面向代理的技术对于解决复杂动态系统的问题求解，实现集成化、智能化、自动化和网络化具有重要作用。
Agent oriented technology is important to address problem solving of complex dynamic systems, to achieve integration, intelligent, automation and network.
采用人工智能的问题求解方法作为理论框架，对很有实用价值的飞机航班信息查询系统问题，设计求解算法。
This paper, taking artificial intelligence problem solving methods as theoretical frame, designs a useful algorithm for airliner information inquiry system.
求解智能规划问题的一个重要方法即把智能规划问题转化为命题逻辑公式求解。
An important way for solving intelligent planning problem is translating it into propositional logic to solve.
基于智能优化算法求解tsp问题，是近年来刚刚兴起的热门课题。
It is a new hot subject rised in recent years to solve TSP with intelligent optimization algorithms.
针对人类问题求解的这种能力和特征，人工智能研究者对其进行了深入的研究，并建立了各种形式化的模型。
Considering such ability of human, researchers of artificial intelligence have made some further investigation and presented many formal models.
该系统是由多个智能体组成的集合，可以协调一组智能体的行为，以协同地完成一个任务或求解问题。
The system is composed by a number of agents, which could coordinate the behavior of agents for completing a task or solving a problem.
作为计算智能和群智能的重要分支之一，蚁群优化算法已经成功地应用于许多组合优化问题的求解。
As an important branch of computational intelligence and swarm intelligence, ACO have been successfully applied to solve many combinational optimization problems.
为了更好的解决作业车间调度问题，各种智能计算方法逐渐被引入到调度问题求解中。
In order to better solve the problem of workshop scheduling, a variety of intelligent computation methods have been gradually introduced to the solve of workshop scheduling.
针对化工过程的故障诊断问题，给出了分布式化工过程故障诊断问题的多智能体的合作求解模型。
For solving the fault diagnosis problem of chemical processes, a new kind of distributed (cooperative) fault diagnosis model based on multi-agent system is provided.
将皮革裁剪多轮廓加工空行程路径优化问题归结为广义旅行商问题，提出了一种求解问题的混合智能优化算法。
Tool-path airtime optimization during multi-contour processing in leather cutting is regarded as generalized traveling salesman problem. A hybrid intelligence algorithm was proposed.
它的潜在并行性及自组织、自适应、自学习的智能特性对于求解多目标优化问题具有巨大的潜力。
Due to its intrinsic parallelism, self-organizing, adaptation and self-learning intelligent properties, evolutionary computation has large potential to solve multiple objectives optimal solutions.
它的潜在并行性及自组织、自适应、自学习的智能特性对于求解多目标优化问题具有巨大的潜力。
Due to its intrinsic parallelism, self-organizing, adaptation and self-learning intelligent properties, evolutionary computation has large potential to solve multiple objectives optimal solutions.
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