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优化问题

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In the global equilibrating,a modified Lagrange multiplier method had bring forward. This method can solve inequality constrained optimizer problems. The method is easy to use and fast calculation.

在整体平衡中,提出了改进的拉格朗日乘数法,成功地解决了含不等式约束条件的优化问题,该方法具有计算简单,收敛速度快等特点。

It using the example of beer incasing equipment,the problem of kinematic analysis and optimization of double four-bar mechanism is discussed.

以啤酒装箱机为例,探讨了啤酒装箱机双四杆机构的运动分析及其优化问题

This paper has mainly finished three research jobs based on existent research results:(1) Studied algorithm performance how effected by selecting parameters, taking TSP as an example, focusing on two parameters:(1)initialing solutions algorithms;(2) intensification and diversification strategy.

本文在现有研究成果的基础之上,主要做了三方面的工作:(1)以组合优化问题中的代表TSP为例,探讨了TS中算法参数的选择对搜索性能的影响,集中研究了两点:①初始解的生成算法;②集中性和多样性策略。

The coding,crossover,mutating and selecting operations of Genetic Algorithm are designed to solve the problem.

同时,针对基本遗传算法在解决优化问题上的不足,本文对遗传算法的编码、交叉、变异、选择操作进行了设计,采用自适应交叉率的遗传算法进行模型求解。

For multimodal function optimization problems, this paper analyzes several niching strategies, combines the crowding model with the clustering algorithm, and proposes a crowding clustering genetic algorithm.

对多模态函数优化问题,分析了各种小生境策略;将拥挤模型与聚类算法相结合,提出了一种拥挤聚类遗传算法。

For the usual algorithm of deciding the initial structure of Elman depends on expert knowledge, an improved species niching PSO was presented in order to optimize the structure and parameters of Elman simultaneously. From the results obtained in this thesis, the improved PSO algorithms based Elman neural networks are of excellent performance. The improved PSO algorithms have strong global search ability while improving the convergence speed and accuracy so that it can be used in various fields.

通过本文的研究可以看出,将改进的PSO算法应用于Elman网络的设计具有很好的性能,两种改进PSO算法不仅具有很强的全局搜索能力,而且在收敛速度和精度上有了明显的提高,它们不但在Elman网络权值学习中获得很好的训练精度,还具有一定的普遍适应性,可以用来解决其它组合优化问题

A modified niching Particle Swarm Optimization algorithm was constructed which allowed unimodal function optimization methods to efficiently locate all optima of multimodal problems that the Niche PSO cannot reach.

针对小生境微粒群算法在处理复杂多峰函数优化问题中存在的一些缺陷,提出一种改进的小生境SNPSO算法。

Simulation results on benchmark functions show that the algorithm is well suitable for the complex function optimization. and has the characteristics of rapider convergence, more powerful global search capability and better stability.

标准函数仿真表明,该算法适合求解复杂函数优化问题,具有收敛速度快、全局搜索能力强和稳定性好的优点。

Faced to concrete routing problem,time and routs are both restricted and required and researches in this field are not enough.

而且具体的车辆路径优化问题,往往在时间和路程两方面都有限制和要求,而在这方面的研究相对较少。

And the optimization of the test sequences also needs to be considered.

同时,还要考虑到测试序列的优化问题

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此刻阴唇已经几乎完全的缝在一起了,排除多余淤血体液的管子和Foley导管从顶端冒出来。

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