优化问题

All of the research results can be widely applied in various aspect of social practice, and provide a good research way and method for combinatorial optimization problem with parameter and inverse symmetric transportation problem, promote the research of network programming design, help to get farther research results, enrich the theory treasury of systems engineering.

这些研究成果可以广泛应用于社会实践的各个方面，并为含参数的组合优化问题的研究、组合优化问题的逆问题的研究提供了一个很好地研究思路和方法，推动了网络规划设计方法的研究工作，有助于取得进一步的研究成果，丰富系统工程理论宝库。

Ant system algorithm is a kind of evolutionary algorithms, which is efficient in solving combinatorial optimization problem.

蚁群算法是一种进化算法，适合解决组合优化问题，指派问题是组合优化问题中的一个分支。

On the other hand, if the damage position and the damage size are used for description of the structural damage, the mathematical model is actually stated as a discrete structural optimization problem with unknown number of design variables, since the number of damages can not be given in advance.

本文采用极大极小问题构造损伤识别的优化模型，通过凝聚函数将极大极小问题转化为一个目标函数连续可微的无约束优化问题，采用基于灵敏度分析的序列线性规划方法求解。

In thesis, the generalized symmetric eigenvalue problem can be recasted into an unconstrained optimization problem.

本文先对广义特征分解问题进行建模，将瑞利商优化问题转化为无约束优化问题。

Optimal gear-driven design is greatly important in modern machine design,the article researched into a new method of optimal gear-driven design based on MATLAB for the purpose of finding a convenient and practical measure.

齿轮优化设计在现代机械设计中占有非常重要的地位，为了能找到一种简便实用的优化设计方法，本文研究了基于MATLAB平台建立齿轮传动的优化设计模型，描述了利用MATLAB优化工具箱解决齿轮参数优化问题的具体方法。

In every subarea system, the sequential quadratic programming algorithm is used to solve the optimization problem of the subarea system.

采用构造辅助问题的方法进行分布式并行计算，将大型互联电网最优潮流问题分解为多个子网的并行潮流优化问题，在每个子网中，采用序列二次规划法求解子系统的的优化问题。

In Chapter 9, a more complete optimization model of single boom, leading pulley compensation type luffing system of portal crane is established for the first time and is optimized by the integrated visualized intelligent optimization system.

第九章首次较完整地建立了单臂架导向滑轮补偿式门座起重机变幅系统优化设计模型，并用所开发的集成化可视化优化系统进行了求解，利用本文的研究成果，本章还进一步讨论了抓斗机构的优化问题，这些实际工程问题都验证了本文研究成果的有效性。

A multi-period reactive power optimization method based on two-layer genetic algorithm is presented,which recasts the complex reactive power optimization problem into a parallel processing problem of multi-period static reactive power optimization.

提出了一种基于两层遗传算法的多时段无功优化方法，将复杂的无功优化问题转化为多个时段静态无功优化的并行处理问题。

The theory minutely analyze trait of evolutionary programming arithmetic and state variables breakout problem in solving reactive power optimization problem, link reactive power balance theory.. reactive power bed and subarea control theory and adjusted-voltage material law of actual system. The theory first put forward a effective variability quantity modified measure, escape unfeasible problem in evolutionary programming, also make evolutionary programming arithmetic in solving reactive power optimization problem more quick and effective.

详细分析了进化规划算法的特点和在求解无功优化问题时存在的状态变量越限问题，结合无功平衡原理、无功分层分区控制原理以及实际系统中调压的具体规律，首次提出了一套有效的变异量修正措施，避免了进化规划的不可行问题，也使进化规划算法在求解无功优化问题时更加快速有效。

In two examples of bi-objective optimization for cantilever beam and rocket engine, linear weighted method and gradual easy constraint method and neighborhood cultivation genetic algorithm method were used to obtain Pareto Front.

并且在悬臂梁的优化问题中，对不同的定值点用目标点法求解优化问题的非劣解，结果说明不同的定值点对应不同的优化结果。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。