优化问题

Based on the variation principle, the calculation of elastic and plastic finite element can be regarded as an optimization problem.

根据变分原理，将弹性、塑性有限元的求解看成一优化问题，利用TH神经网络模型、遗传算法和退火算法等智能计算技术强大的搜索能力来进行优化求解。

For solving Multi-objective and multi-restriction optimization problem , this paper used non-dominated ranking method, elitist preserve strategy, niche approaches, and presented an individual vector module adaptive function as wash out rule, then an improved Pareto multi-objective optimization with genetic algorithm was found.

为解决含多个目标和多约束的优化问题，本文结合了非支配排序思想、精英保留策略，小生境技术，并对传统的小生境技术中基于个体适应度的淘汰技术进行改进，提出了一种向量模适应度函数来作为淘汰准则，得到一种改进的Pareto遗传多目标优化算法。

Directed against the problem of stability optimal design on reinforced wainscot of composite materials a kind of mixed optimization algorithm with the combination of mixed penalty function method, Powell method, golden section method, improved coordinates alternation method and genetic algorithm was put forward.

针对复合材料加筋壁板的稳定性优化问题提出了一种用混合罚函数法、Powell法、黄金分割法、改进的坐标轮换法和遗传算法相结合的混合优化算法。

Finally a comparison of optimization results between complex method and genetic algorithm is carried out, which shows the value of objective function ha s decreased 6.6% under GA. This will help decrease the slippage of steering whee l and wear extent of tyre. At the same time, it also verifies the feasibility an d superiority of genetic algorithm in solving the nonlinear optimization problem s with many restraints and variables.

计算结果表明：与复合形法相比，遗传算法使目标函数值减少了6.6%，取得了较好的优化效果，从而更有利于减小转向车轮的滑移量和轮胎的磨损量，同时也验证了遗传算法解决多约束、多变量类型优化问题的可行性和优越性。

Several models of cylindricity error evaluation,such as MZC,LSC,MCC and MIC,were given,a constriction factor model of the Particle Swarm Optimization was introduced.

建立了圆柱度误差评价的最小区域法、最小二乘法、最小外接圆柱法和最大内接圆柱法的数学模型，将一种含收敛因子的粒子群优化算法应用于圆柱度误差的目标函数的优化问题。

A simple artificial immune network algorithm, suitable for clustering problems with a small quantity of samples, is obtained by using the idiotype immune network. Further, a fuzzy immune network classification algorithm applied to sample classification learning is proposed by uniting the algorithm and fuzzy logical rules.

其次，利用抗原群及抗体群的作用关系，结合免疫记忆细胞的记忆功能，并借助于克隆选择原理、免疫网络的调节机制及约束条件处理方法，设计约束多目标优化免疫算法处理约束多目标优化问题，收敛性论证、性能测试、比较及实际应用表明此算法是有效的。

At last the paper puts forward corresponding countermeasure to the structure optimization of urban land-utilization in our country macroscopically.

最后从宏观层面对我国大城市土地利用结构优化问题进行考察，提出我国大城市土地利用结构优化的相应对策思路。

The objective function of the combination optimization problem is set and an improved mutative scale chaos optimization algorithm is employed to search global optimal value. Thereby the optimal parameters combination are obtained.

对组合优化问题建立目标函数，采用一种改进的变尺度混沌优化算法来搜索全局最优值，从而得到最优的参数组合。

A fuzzy support vector machine based on distance which used to model the mycelial concentration by soft sensor is proposed in this article.

针对青霉素发酵过程中的菌体浓度进行软测量建模，提出了一种新的基于距离的模糊支持向量机，并用序列最小优化算法求解优化问题。

Some new concepts and algorithms are proposed,such as jobnomial sequence,job perturbation sequence,neighbourhood of job nomial sequence and jobsequence perturbation analysis.These job sequence PA algorithms extend PA techniques aboutcontinuous parameters to discrete parameters and provide some new kinds of tools for solving suchcombination optimization problem.

论文提出了工件序的邻域、摄动序等概念以及对工件序进行摄动分析的思想和算法，将传统的PA算法从连续参数领域推广到离散参数的组合优化领域，为此类组合优化问题增添了新的求解工具。

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。