基于遗传算法的最优化问题求解

遗传算法是一种有效的解决最优化问题的方法,在解决复杂的全局优化问题方面,遗传算法已得到了成功的应用。对遗传算法的基本步骤进行总结,通过最优化问题求解实例描述了遗传算法的具体运行过程,包括产生初始染色体、染色体评价、选择、交叉、变异等。分别应用VC和VB两种语言进行编程实现,结果表明,VC语言在运算效率和结果优度方面均比VB语言要好。     

Intelligently tuned wavelet parameters for GPS/INS error estimation

This paper presents a new algorithm for de-noising global positioning system (GPS) and inertial navigation system (INS) data and estimates the INS error using wavelet multi-resolution analysis algorithm (WMRA)-based genetic algorithm (GA) with a well-designed structure appropriate for practical and real time implementations because of its very short training time and elevated accuracy. Different techniques have been implemented to de-noise and estimate the INS and GPS errors. Wavelet de-noising is one of th...     

Extending applications using an advanced approach to DLL injection and API hooking

When programmers need to modify third‐party applications, they frequently do not have access to their source code. In such cases, DLL injection and API hooking are techniques that can be used to modify applications without intervening into their source code. The commonly used varieties of injection and hooking approaches have many practical limitations: they are inconvenient for a programmer to implement, do not work reliably in conjunction with all applications and with certain low‐level machine instructions. In this paper we present two novel approaches to DLL injection and API hooking, which we call Debugger‐aided DLL injection and Single Instruction Hooking. Our approaches overcome the limitations of the state‐of‐the art approaches. Despite incurring greater execution times, our approach allows extending of the applications in situations where the comparable approaches fail. As such, it has a notable practical value for beneficial practical applications of injection and hooking approaches, which are present in malware detection programs and computer security tools. Copyright © 2010 John Wiley & Sons, Ltd.     

Model‐based code generation for HLA federates

This paper addresses the problem of automated code generation for a High Level Architecture compliant federate application given its behavior model. The behavior model is a part of the architectural model of a federation that the federate can participate in. The federate behavior model is based on Live Sequence Charts, adopted as the behavioral specification formalism in the Federation Architecture Metamodel (FAMM). FAMM serves as a formal language for describing federation architectures. An objective is to help the testing of federation architecture by means of its prototype implementation early in the development lifecycle. A further objective is to help developers construct complete federate applications that are well modularized. The approach to achieve these objectives is aspect‐oriented in that the generated code, which handles the federate's interactions with a federation execution, serves as the base code, where the computation logic is to be weaved as an aspect. Copyright © 2009 John Wiley & Sons, Ltd.     

多目标遗传算法在GPS动态车辆调度中的应用研究

围绕车辆调度问题多目标优化这一主题,依据企业现有的GPS定位系统,设计一种基于实数编码和精英保留策略,综合应用外部惩罚函数法的多目标遗传算法.并于其中创新性的引入基因校验算子,避免了重复车次的产生.程序使用Java语言编制,后台数据库使用oracle.实验结果表明,该算法能够充分满足系统硬约束条件,快速收敛于目标约束,完成车辆的优化调度,具有较强的实用价值.     

基于自适应遗传算法的测试用例生成工具

提出一种“对组合”测试用例生成算法。给出“对组合”索引表的概念。在索引表的基础上,实现一种自适应遗传算法生成测试用例集合。介绍使用该方法开发的测试用例自动生成工具GATG。实验证明,该方法基本达到国际同类工具的平均水平,具有较好的使用价值和应用前景。     

面向节点-节点的进化测试改进方法

传统方法不能对进化测试中所有面向节点-节点的测试类型都构造具有良好导向的适值函数。针对该问题,基于面向节点-节点进化测试系统模型,不考虑节点的执行顺序和控制流关系,从节点的独立性出发,提出一种改进的适值函数计算方法。实验结果表明,对离散节点之间没有数据依赖关系的覆盖准则,该方法代价较小、运行稳定。     

一种医学图像的轮廓提取方法

针对医学图像的模糊性和灰度不均导致目标轮廓难以准确提取的问题,提出使用改进的遗传算法控制主动轮廓模型完成边界提取的方法。采用保优算子保留遗传性状,选择适当的交叉算子,在进化后期可实现由整体寻优到局部寻优的转变。实验结果证明,该方法在提取目标轮廓时抗模糊能力强、鲁棒性好。     

基于信任机制与遗传算法的渲染网格作业调度研究

信任关系是网格作业调度中一个很重要的因素,也是影响网格计算有效性和性能的关键技术之一。将信任机制引入到渲染网格作业调度中,建立渲染网格环境中基于信任机制的作业调度模型,在调度策略上对基本遗传算法进行了改进,提出了基于信任机制的遗传算法。实验结果表明,该算法可以提高任务完成率和平均信任效益,是适用于渲染网格的一种有效作业调度方法。