优化问题

To cope with highly nonlinear, nondifferentiable and multi-peak objective function, evolutionary algorithms which have the advantage of global solution searching can overcome the drawbacks of conventional algorithms such as slow speed, relatively poor precision and convergence to local solutions.

针对微波领域中优化问题的目标函数的高度非线性、不可导、多极值等特点，利用演化算法的全局搜索特性，可以避免确定性优化方法收敛速度慢、精度低、易于收敛到局部极小值的缺点。

When discussing the strategic SITIO problem, the paper addresses the procedure of establishing the mathematic model and designing of heuristic algorithm with decision variables as the number of vehicles and the storage capacity, and the objective is to minimize the sum of transportation and inventory average costs when the system be run in the future.

在关于战略层联合优化问题的研究部分，本文以车辆数和客户的存储能力为决策变量，以使系统将来投入运行时平均的库存和运输相关费用之和最小为优化目标，详细讨论了数学模型的建立和启发式算法的设计过程。

In Chapter 2 the foundamental principle of GAs is introduced and the mathematic background of GAs is discussed. Then, a genetic algorithm based on non-Abel group theory and a parallel genetic algorithm based on supercube computer system are proposed.

遗传算法广泛地应用于函数优化和组合函数优化问题，然而如何改善其性能，提高收敛效率，仍然是当今遗传算法研究界的重要课题。

Tabu search algorithm is a meta-heuristic global optimization algorithm, which has been successfully applied to a variety of combination optimization problems.

禁忌搜索算法是一种元启发式的全局优化算法，是局部搜索算法的一种推广，已被成功地应用于许多组合优化问题中。

In order to solve the problem effectively, a GA-based strategy is given after the complete analysis of the features of GA, which is very efficient to solve large-scale, non-linear, uncontinuous and multiple optimums optimization problems.

论文在对GA分析的基础上，指出GA是一种通用性很强的自适应随机搜索算法，且对搜索空间要求不高，适用于全局优化，尤其在解决诸如大规模、非线性、不连续、多峰等复杂函数优化问题方面，更显示其优越性。

According to the analysis of min-cut partitioning problem,we give a Cellular Automata model for this problem by applying the cellular automata theory and propose a min-cut optimization algorithm based on this model for bisecting graph.

运用元胞自动机理论，针对无向图剖分优化问题进行了分析和建模，提出了一种元胞自动机模型以及基于该模型的无向图剖分优化算法。

In the process of the global search, as a niching genetic algorithm, crowding operator accepts the winner of the similar parent and offspring as a member of the next population based on Pareto dominance.

摘 要：分析了现有的约束优化进化算法的一些不足之处，提出了一种处理约束优化问题的新算法。

The optimal configuration of sectioned switches in distribution network is a non-linear combined optimization problem, in which both economy and reliability should be considered at the same time.

配电网分段开关的优化配置是一个需要同时考虑经济性和可靠性的非线性组合优化问题。

The method of moving asymptotes with trust region technique is a kind of new optimization method which is proposed especially for solving structure optimization problems in engineering.

移动渐近线(moving asymptotes，以下简称MA)模型信赖域方法，是一类最新提出的优化方法，主要用于解工程上经常出现的结构优化问题。

A sensitivity analysis of adjoint method is presented to analyze the topology optimization problems. Meanwhile, the globally convergent version of the method of moving asymptotes is used in the optimization algorithm.

提出了适用于微型柔性机构多目标拓扑优化设计的伴随矩阵敏度分析方法，并将广义收敛移动渐进算法用于多目标多约束微型柔性机构拓扑优化问题的求解。

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。