叙述了面向对象的专家系统构造工具OEC所提供的问题求解环境。
This paper describes a problem solving environment provided by the Obiect-oriented Expert system Construction tool (OEC).
首次把遗传算法的理论和方法引入环境水力学反问题的求解中。
Genetic algorithms theory and method is first time being used to solve inverse problem of environmental hydraulics.
大规模并行处理系统(MPP)和PC机群为并行求解矩阵广义特征值问题提供了分布式存储环境。
Massively parallel Processing system (MPP) and PC cluster provide distributed-memory environments for parallel solving the generalized eigenvalue problem.
文中针对SINS误差模型车载验证试验方案研究中遇到的问题，首先深入分析了环境函数矩阵的两种不同类型的求解方法。
Aiming at the problem in distinguishing SINS instrumentation error through text on vehicle, this paper firstly analyses two types computing method for environment function matrix.
虽然我们面临的大多数环境问题都是因为技术的使用，但是社会必须依靠技术来寻求解决的办法。
While most of the environmental problems we face result from the use of technology, society must depend upon technology to find solutions to these problems.
本文是在MPI网络并行环境中，将求解二维热物性方程参数的反问题用正则化方法结合并行遗传算法进行数值求解。
This thesis focuses on determination of parameters in a two-dimension heat conduction equation on the MPI network parallel environment, by solving an inverse problem using the regularization method.
本文研究的课题是低温辐射加热电缆的研制及应用环境下热场分析，求解应用环境下的热效率问题，为低温地热电缆的国产化和应用提供了理论基础。
The work in this paper develops of low temperature radiation heating cable, analyses thermal field under application environment, and affords theoretic basic for making the cable in our country.
多agent系统(MAS)提供了分布式和合作问题求解的环境。
Multi agent systems (MAS) have been known to provide distributed and collaborative problem solving environment.
本文研究在MATLAB环境下，利用感知器求解逻辑分类问题。
In this article we investigate logic classification problems that are solved using perceptrons on MATLAB condition.
论文借鉴免疫反应机理，提出一种用于求解动态环境下函数优化问题的免疫算法。
In this paper, an optimization algorithm for time-varied functions optimization referring to immune optimization mechanism is presented.
提出了基于场景的多目标随机规划模型来构建不确定市场需求环境下的能力计划问题模型，并用改进的多目标粒子群优化算法求解。
We formulated scenario based multi-objective stochastic programming model to describe the problem of capacity planning under uncertainty and applied improved Multi-Objective PSO (MOPSO) to solve it.
针对电子商务环境下虚拟企业风险规划问题，给出了一种基于蚂蚁优化思想的求解算法。
Based on the ant colony optimization, a new algorithm was proposed for the risk programming of virtual enterprise under electronic commerce environment.
计算机仿真表明，该算法可以明显改善求解多目标优化问题时的寻优过程，能适应实际应用环境下快速、有效的决策要求。
The simulation results demonstrate that the new algorithm can improve the process of MOP optimization, and can meet the requirements of high-speed and effectiveness in application.
计算机仿真表明，该算法可以明显改善求解多目标优化问题时的寻优过程，能适应实际应用环境下快速、有效的决策要求。
The simulation results demonstrate that the new algorithm can improve the process of MOP optimization, and can meet the requirements of high-speed and effectiveness in application.
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