基于隐式性能指标的机械振动优化设计

发布时间：2018-01-08 17:11

本文关键词：基于隐式性能指标的机械振动优化设计　出处：《湖北工业大学》2011年硕士论文　论文类型：学位论文

【摘要】：近些年,优化算法已经成为研究与应用领域一种非常重要的工具,利用遗传算法的优化原理,普通遗传算法在解决机械振动优化设计方面的问题具有很大的优势。遗传算法已经广泛的应用于机械振动优化设计中,虽然解决了一部分机械设计中遇到的问题,但是这种算法往往只能解决性能指标用显示函数表达的优化问题。而在实际的工程中,很多系统优化问题的性能指标并不能用显示的函数表达出来,这方面属于隐式性能指标的优化问题,采用传统的遗传算法不能解决此类问题。本文主要提出了一种交互式遗传算法优化算法,通过用户给出适应度值参与进化过程,突破传统遗传算法的主要缺陷来优化解决机械振动方面的实际问题,这种优化方法能启发式的搜索到全局最优解的较小区域,而且不会陷入局部最优解,解决了部分隐式性能指标下的机械振动优化问题。对于交互式遗传算法人的疲劳问题,本文采用粗糙集理论的分类约简功能解决,从而解决了隐式性能指标下的机械振动优化设计。本文根据交互式遗传算法,开发了一套机械振动优化设计测试系统。该系统是在Visual C++ 6.0的环境下利用MFC开发工具完成的。程序采用文档/视图结构,将后台的数据管理和前台的用户交互分离开来,极大的方便了程序的开发。本文首先介绍了隐式性能指标机械振动优化方法、属性相对约简启发式遗传算法和机械振动优化设计实例的相关内容,然后对软件的开发工具MFC及文档视图结构作了较详细说明,介绍了交互式遗传算法软件设计的总体流程,对开发中的算法功能逐一说明介绍。软件设计中重点介绍了汽车振动模型的编码、遗传操作、人机交互操作、进化终止条件判断和世代进化过程等操作,并就系统工作中的重要设置与配置进行了说明。最后对本文系统的总体工作进行了总结,并对系统的功能进一步完善提出了未来的研究方向。
[Abstract]:In recent years, optimization algorithm has become a very important tool in the field of research and application, using the optimization principle of genetic algorithm. General genetic algorithm (GA) has great advantages in solving the problem of mechanical vibration optimization design. Genetic algorithm has been widely used in mechanical vibration optimization design, although it solves some problems encountered in mechanical design. However, this algorithm can only solve the optimization problem in which the performance index is expressed by the display function, but in the actual engineering, the performance index of many system optimization problems can not be expressed by the display function. This is an implicit performance index optimization problem, which can not be solved by traditional genetic algorithm. In this paper, an interactive genetic algorithm optimization algorithm is proposed to solve the practical problems of mechanical vibration by giving the fitness value to participate in the evolution process and breaking through the main defects of the traditional genetic algorithm. This optimization method can heuristically search the smaller region of the global optimal solution, and will not fall into the local optimal solution, thus solving the mechanical vibration optimization problem under the partial implicit performance index. In this paper, the classification reduction function of rough set theory is used to solve the human fatigue problem of interactive genetic algorithm, thus the optimal design of mechanical vibration under implicit performance index is solved. This paper is based on interactive genetic algorithm. A testing system for mechanical vibration optimization design is developed. The system is developed by using MFC development tools under the environment of Visual C 6.0. The program adopts document / view structure. The data management in the background and the user interaction in the foreground are separated, which greatly facilitates the development of the program. This paper first introduces the implicit performance index mechanical vibration optimization method, attribute relative reduction heuristic genetic algorithm and mechanical vibration optimization design examples. Then the software development tool MFC and document view structure are described in detail, and the overall process of interactive genetic algorithm software design is introduced. In the software design, the coding of vehicle vibration model, genetic operation, man-machine interaction operation, evolutionary termination condition judgment and generation evolution process are introduced. Finally, the paper summarizes the overall work of the system, and puts forward the future research direction to further improve the function of the system.
【学位授予单位】：湖北工业大学
【学位级别】：硕士
【学位授予年份】：2011
【分类号】：TH122

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