非线性优化

This model is a non-linear constraint program, and the feasible direction search algorithm is applied to solve the model.

采用分析优化方法，探讨了公共交通的实际乘客需求及票价成本收益，并以此为基础建立了以社会福利最大化为目标的发车间隔和票价综合优化模型，确定该模型为非线性约束最优值规划，应用可行方向法对模型进行了求解。

The layout scheme design of spacecraft vessel belongs to 3D packing problem with behavioral constraints, and it is also a complex engineering system problems with inscrutability, uncertainty, high nonlinearity, quality and quantity. It is almost impossible to solve it completely by human or computer alone.

航天器舱布局方案优化设计属带性能约束的三维布局优化问题，属具有不确定性、高度非线性、既有定性又有定量问题的复杂工程系统问题，单纯依靠人或计算机算法去解决都是非常困难的。1991年Lenat、Feigenbaum提出的人机合作(Man-Machine Synergy)和同年钱学森、戴汝为等提出的人机结合(Human-Machine Cooperation)思想和方法论，被认为是21世纪解决复杂工程问题的重要途径、自动化设计的重要发展方向，但其可操作性问题一直未很好解决。

To solve the grouping reviewer problem of social examination, a nonlinear 0-1 integer programming with multi-objectives optimization is presented. Its two objectives are to minimize the total error rate and to maximize the total reviewing speed.

针对社会考试的考卷评阅人的优化分组问题，建立了一个多目标的非线性0-1整数规划的优化模型，其目标是极小化阅卷差错率的同时极大化阅卷速度。

At the same time, for practical system, such as engineering field, especially artificial intelligence and control field, multi-objective, nonlinear, nondifferentiable and intermix systems come forth. Some problems which cant be solved by classic optimization methods must be solved by computation intelligence technology.

同时，对于实际系统，例如工程领域，特别是人工智能与控制领域，不断涌现出多目标、非线性、不可微甚至混杂的系统，经典优化方法不能有效求解的优化问题，必须采用计算智能技术。

Since the model is a large scale and NP-hard combinational optimization problem in the real navigation environment, a hybrid simulated annealing algorithm is employed to search the suboptimal solution composed of a lockage timetable and a ship scheduling, The search starts by trimming the existing lockage timetable based on heuristic rules; the result is then used to compute the ship scheduling by the depth-first-search algorithm. The obtained solution is finally updated by the Metropolis rule.

本文首先提出了该问题的混合整数非线性规划模型，在实际通航调度环境中，该模型属于强NP-hard复杂度的大规模组合优化问题，因此设计了一种混合模拟退火算法来搜索次优化调度方案，该算法将解分解为闸次时间表和船舶调度计划两部分，在搜索过程中用启发式规则对闸次时间表进行调整，然后用深度优先搜索算法根据闸次时间表求解船舶调度计划，最后根据Metropolis规则对当前解进行更新。

Which are important in object-relational databases, and how to translate the select-from-where cause into representations of monoid system are discussed.

发展了复杂水火电系统开停机优化的综合优化算法，在解决复杂的混合整数规划和非线性问题上向前推进了一步。

A non-linear programming model was established which considered both assignment of machine and time arrangement for the production environment with multi-stage, multi-machine and different refining number. The hybrid intelligent optimal scheduling method was presented which included assignment of machine based on expert system, neighborhood search based on man-machine interaction, and time optimization based on model conversion.

针对多阶段、多设备以及精炼工序重数不同的炼钢连铸生产调度问题，建立了综合考虑工序设备指派和作业时间安排的非线性规划模型，提出了基于专家系统的设备指派、基于人机交互的邻域搜索与基于模型转换的时间优化相结合的三阶段炼钢连铸混合智能优化调度方法。

For solving this problem, optimization techniques have been tried and a nonlinear optimization model has been developed.

本研究应用优化控制的方法，在微机上建立了非线性数学优化模型。

This is a new research direction of nonlinear global optimization methods.

该方法收敛速度快，优化结果不依赖初始解的选取，是对非线性全局优化问题的一个新探索。

At first this thesis researches the multi-layer tactic of the recurrent optimization of the nonlinear predictive control which converts the optimization with nonlinear dynamic restriction into the optimization with linear dynamic restriction and the repetitive coordination.

在这里引入了大系统理论中的分级递阶思想，将一个一揽子求解的带有动态非线性约束的优化问题转化为由线性约束的优化和迭代协调两个层次组成的分级递阶问题。

But we don't care about Battlegrounds.

但我们并不在乎沙场中的显露。

Ah! don't mention it, the butcher's shop is a horror.

啊！不用提了。提到肉，真是糟透了。