基于STM32的STC单片机脱机下载器的设计与实现

为了解决STC单片机程序快速高效升级的问题,提出了基于STM32的STC单片机脱机下载器的方案.用SD卡做为存储介质,存储目标程序文件.在STM32上实现STC单片机的ISP下载协议,将SD中的程序文件下载到目标板中.介绍了下载器的硬件原理、STC单片机下载协议和下载器的软件设计方法.     

C语言程序设计教学探讨

C语言是在国内外广泛使用的一种计算机语言,是计算机专业及相关专业的专业基础课。另外,C语言也是全国计算机等级考试的科目之一。文章根据实际教学实践,分析了当前C语言教学中所存在的问题,并就如何激发同学们的学习兴趣,培养同学们程序设计能力,进行了一定的分析与探讨．以提高课堂教学效果。     

Relationships of Aegilops tauschii revealed by DNA fingerprints: the evidence for agriculture exchange between China and the West

Genetic diversity and relationships of wild goat grass (Aegilops tauschii Cosson) from Iran and Xinjiang, west China, as well as its weedy type from the Yellow River region of Shaanxi and Henan provinces in China were analyzed by simple sequence repeat (SSR) fingerprinting. A high level of genetic diversity in Aegilops tauschii accessions from Iran was observed, and the richness of genetic diversity was followed by accessions from Shaanxi, Henan, and Xinjiang. The weedy type of Aegilops tauschii showed a close genetic relationship with the wild type from different regions in Iran. The results indicated that the weedy Aegilops tauschii found in the Yellow River region was most likely introduced from Iran—the diversity center of Aegilops tauschii. The weedy Aegilops tauschii populations found in the Yellow River region may be brought into the central part of China as a weed species together with common wheat (Triticum aestivum L.) from the west during various periods of time in history. This finding has provided strong evidence for the introduction of common wheat from the West into China via the Silk Road, and also demonstrated the important role of the Silk Road in the exchange of agriculture and other relevant technologies between China and the West.     

Adaptive interactive genetic algorithms with individual interval fitness

It is necessary to enhance the performance of interactive genetic algorithms in order to apply them to complicated optimization problems successfully. An adaptive interactive genetic algorithm with individual interval fitness is proposed in this paper in which an indi-vidual fitness is expressed by an interval. Through analyzing the fitness, information reflecting the distribution of an evolutionary population is picked up, namely, the difference of evaluating superior individuals and the difference of evaluating a population. Based on these, the adaptive probabilities of crossover and mutation operators of an individual are presented. The algorithm proposed in this paper is applied to a fashion evolutionary design system, and the results show that it can find many satisfactory solutions per generation. The achievement of the paper provides a new approach to enhance the t~erformance of interactive genetic algorithms.     

基于遗传算法的旅游商问题求解

旅游商问题是典型的NP完全问题，遗传算法是求解NP完全问题的一种理想方法，本文针对求解旅游商问题，设计了遗传算法的选择，交叉和变异算子等遗传子，最后给出算法的仿真结果。     

基于栅格地图的遗传算法路径规划

为提高移动机器人路径规划问题的求解质量和求解效率并克服遗传算法用于复杂环境下路径规划存在的常规缺陷,本文改进了运用于路径规划的遗传算法操作,提出了一种基于栅格地图的完善遗传算法路径规划方法,通过引入路径修复机制来提高遗传算法的收敛速度。仿真结果表明这种方法能够很好的解决移动机器人点对点的路径规划问题。     

通信网频率分配算法研究

本文总结了在频率分配领域中运用的各种可行、有效的智能算法,它们是：遗传算法,蚁群算法,模拟退火算法,禁忌搜索算法等。这些算法大大丰富了现代优化技术,也为那些传统优化技术难以处理的组合优化问题提供了切实可行的解决方案。对频率的分配有参考价值。     

基于遗传算法求解背包问题的算法探讨

将遗传算法应用于背包问题,利用遗传算法的求解思想,对传统的背包问题进行了详细的分析,按照遗传算法的基本结构设计了编码,并通过实例验证了遗传算法用于解决背包问题的可行性和有效性.     

基于进化规划算法的背包问题求解研究

背包问题是一个具有较强应用价值的NP完全问题.如何设计求解此类问题的算法,则具有很强的实用价值和理论意义.目前已有很多的求解方法,但背包问题并没有完全解决.本文在启发式算法的理论基础上,改进了进化规划算法求解背包问题,此方法简单通用、易于操作.数值实验表明该方法具有较高的准确率,能较快的收敛到全局最优点.     

基于吸收分析的多属性反演技术及在油田开发中的应用

为了满足油藏开发阶段砂体内部油水识别的需求,提出了基于地层吸收分析的多属性反演流体识别技术。算法实现分三步:1利用基于广义S变换的瞬时子波吸收分析(GST_WEA)油气预测技术计算地震记录的高、低频吸收因子;2结合吸收因子和其它与流体相关的地震属性,以电阻率曲线为目标函数构建多元线性反演,利用多元逐步回归算法对包括吸收因子在内的多种地震属性进行流体敏感性排序;3进一步利用概率神经网络算法对优选的以吸收因子为主的地震属性进行多属性电阻率反演。通过模型分析验证了GST_WEA油气预测技术的抗噪性。实际应用效果表明吸收因子较其他地震属性具有更高的流体敏感性,通过多属性反演有效预测了砂体内部的含油优势区域。