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In reliability-based optimization problems of a ship's longitudinal structural design, there are lots of discrete variables and continuous variables. This kind of mixed-discrete non-linear optimization problem containing discrete and continuous variables has long been payed attention to, which is more difficult to solve when a number of reliability constraints are taken into account.

在船舶纵向结构的可靠性优化设计中，含有许多离散型设计变量和连续型设计变量，这种含有两种不同性质设计变量的大型结构物的混和优化问题，一直是人们瞩目的难题，尤其是考虑了多个可靠性约束条件之后，求解这种非线性优化问题就更为困难。

The particle swarm optimization method is applied to NSBM.Firstly the coding approach is designed and then the particles are sequenced using the priority value vectors which make PSO appropriate for the discrete optimization problem.

首先设计了微粒的编码方法；然后采用了基于优先值向量的排序方法对微粒进行解码，有效的利用了微粒群算法在离散优化中的优势；最后利用批调度策略进行分批处理，获得优秀的可行解。

This thesis proposed two methods of particle swarm optimization and genetic algorithm to optimal reactive power dispatch of transmission systems, respectively. The advantage of these methods is to achieve near optimal solution for discrete nonlinear optimization problem. So this thesis simulates the proposed method for IEEE 30-bus power system and a practical Taipower system.

本论文提出应用粒子群优法演算法和基因演算法，并使用电力潮流分析，调度输电系统中的无效功率，而粒子群优演算法和基因演算法，在求解非线性的离散解时，均能达到可能的最佳解，因此本文应用此两种方法对输电系统作最佳无效功率调度，并且使用IEEE 30-bus系统与实际台电系统作测试，比较此两种方法的调度结果。

Compared with the common optimization design, the mixed discrete variable optimization method has been widely used in the area of machine design.

在机械优化设计中，混合离散变量优化方法得到了广泛的应用，具有较高的工程应用价值。

A discrete particle swarm optimization algorithm for the collusion problem is also presented based on the optimization model proposed.

在此基础上，提出了基于离散粒子群算法的无线传感器网络共谋问题优化方法。

With the RNA secondary structure prediction and the characteristics of particle swarm optimization,a new model of discrete particle swarm optimization is presented.

根据RNA二级结构预测问题实质和基本粒子群优化算法特性，提出一种离散粒子群优化算法模型。

SA is a stochastic optimization technique that has been used to solve continuous, order discrete and muti-modal optimization problems.

模拟退火算法是一种用于解决连续、有序离散和多模态优化问题的随机优化技术。

The theory, methodology and application of engineering mixed discrete optimization problems are the most attractive branch of modern optimization technique.

工程混合离散变量优化理论、方法与应用，是近代优化设计技术发展的一个非常有实际意义的新分支。

The discrete 0-1 programming problem is translated into continuous nonlinear optimization problem by polish function, and the nonlinear optimization problem is solved by contraction algorithm.

3利用过滤函数近似处理连续体拓扑优化问题，使用缩并解法实现了对连续体拓扑优化问题的求解。

After having an analysis on uncertain optimization problems, the thesis introduces the research results of Ben-Tal and Bertsimas, and mainly has a detail discription on robust linear programming and robust discrete optimization.

论文在对不确定优化问题分析的基础上，对鲁棒优化研究的代表人物Ben-Tal和Bertsimas的研究成果进行了总结，重点对鲁棒线性规划和鲁棒离散优化进行了阐述。

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。