优化问题

The deformation damage object is defined as the max damage of all elements in net forging and the deformation uniformity object is defined as mean square deviation of the equivalent-strain in each element and the average equivalent-strain of all elements.

用锻件所有单元的最大损伤值作为衡量锻件变形损伤的指标，用锻件所有单元体的等效应变与整个终锻件的平均等效应变的均方差，作为锻件变形均匀性的指标，构造了多目标优化问题的评价函数。

The first systematic and fundamental research is did by Modigliani and Miler, they bring out with the famous MM theorem in 1958.Which says capital structure doesn't affect enterprise market value and average capital cost in a condition of perfect market. After that, several economists including Modigliani and Miler themselves put this theory forward with the MM theorem with the consideration of tax, the trade-off theory, the pecking order theory,market for corporate control, these analyses throw lights on the problem from different aspect.

对此做出系统性和开创性研究的是Modigliani和Miler，在1958年提出了资本成本与资本结构无关的MM定理，在此基础上，包括Modigliani和Miller在内的许多经济学家对此进行了探索，他们先后提出了考虑税收的MM定理、权衡理论、优序融资理论、控制权理论，从不同的角度分析了资本结构的优化问题。

Global optimization problems are extraordinarily diverse and they include economic modelling, finance, networks and transportation, databases and chip design, image processing, chemical engineering design and control, molecular biology, environmental engineering, militantness and so on.

全局优化问题已广泛涉及到各个不同的邻域，其中包括经济模型，金融，网络与运输，数字集成设计，图像处理，化学工程设计与控制，分子生物学，环境工程及军事科学等等。

On the basis of the researching the neural network theory, presenting the neural network model (N-SearCut model) for searching for minimal cutset of a graph, proving the stability of this model, analyzing the dynamic behavior of this model, deducing a series of corresponding theorems and affording an academic fundaments for solving optimization problem based on this model.

在研究人工神经元网络理论基础之上，提出了搜索图最小割集的神经网络模型——N-SearCut模型，证明了该模型的稳定性，分析了该模型的动态特性，导出了一系列的定理，为运用该模型进行优化问题的求解提供了理论依据。

This paper mainly carries the analysis and researches on the genetic algorithm and its mixed strategy in the application of promotion combination"s optimizing, expecting to enhance this topic"s research to a quantification analysis level.

本文主要是对遗传算法及其混合策略在促销组合优化问题中的应用进行了分析和研究，以期将该课题的研究提高到量化分析的层次。

As a consequence, MOEO is an effective method fordealing with MOPs in the fields of managements and decision-making.

因此，MOEO算法是一个能解决实际管理决策优化问题的有效方法。

Based on the analysis of immune theory and Hopfield neural network, a new algorithm for multimodal function optimization was proposed.

分析了免疫算法和Hopfild神经网络的优缺点，提出了一种解决多峰值函数优化问题的混合算法。

In the thesis, a model is obtained by multinomial modeling for the key parameters in the process industry.

本文还尝试了利用多项式建模方法对本优化问题进行建模。

This paper presented a scheduling approach developed to address the scheduling problem of small batch and multiple process routes in job shop environment.

提出一种基于遗传算法的作业计划算法，用于解决作业车间的中小批量多工艺加工作业计划的优化问题。

This is a new method for solving the optimization of multiobjective and multistage problems in chemical systems.

为解决化工系统中的多目标多阶段优化问题提供一条新路。

By the time of its fall, most of the prisoners were writers who had written against the corruptions of the government.

到它被攻陷的时候，里面多数的犯人是写了反对政府贪污文章的作家。

The most obvious variation to ovum morphological character was that the color was changed from light green to sepiaceous in embryonic development, and all the ovums were almost hatched after 96h.

在胚胎发育过程中卵的形态特征最明显的变化是颜色从淡绿到深褐色，卵在发育96h后卵基本全部孵化。