现代优化计算方法在蛋白质结构预测中的应用

现代优化计算方法在蛋白质结构预测中占有重要地位.简要地介绍了模拟退火算法,遗传算法,人工神经网络和图论算法在蛋白质结构预测中的应用.对国内外近年来应用这些算法,特别是在蛋白质构象搜索问题中,解决蛋白质结构预测的研究作了回顾,并分析、比较了这几种算法的效果和特点.     

SASEGASA: A New Generic Parallel Evolutionary Algorithm for Achieving Highest Quality Results

This paper presents a new generic Evolutionary Algorithm (EA) for retarding the unwanted effects of premature convergence. This is accomplished by a combination of interacting generic methods. These generalizations of a Genetic Algorithm (GA) are inspired by population genetics and take advantage of the interactions between genetic drift and migration. In this regard a new selection scheme is introduced, which is designed to directedly control genetic drift within the population by advantageous self-adaptive selection pressure steering. Additionally this new selection model enables a quite intuitive heuristics to detect premature convergence. Based upon this newly postulated basic principle the new selection mechanism is combined with the already proposed Segregative Genetic Algorithm (SEGA), an advanced Genetic Algorithm (GA) that introduces parallelism mainly to improve global solution quality. As a whole, a new generic evolutionary algorithm (SASEGASA) is introduced. The performance of the algorithm is evaluated on a set of characteristic benchmark problems. Computational results show that the new method is capable of producing highest quality solutions without any problem-specific additions.     

蒙山脆枣与枣及酸枣亲缘关系的研究

以蒙山脆枣及山东省内的9个枣品种和32个酸枣类型(株系)为试材,采用形态学分析和RAPD分析,对蒙山脆枣与枣及酸枣的亲缘关系进行研究,并初步探讨了蒙山脆枣的起源及枣的演化过程。形态学性状数据主成分分析结果表明,蒙山脆枣第1主成分值为5.42,第2主成分值为0.64,介于枣品种和酸枣类型之间,地位较为特殊。对形态学性状数据聚类,结果表明,蒙山脆枣先与酸枣1号在6.40阈值处聚为一类,再与大枣品种的聚类群在11.75阈值处聚为1类之后,才与其它酸枣类型的聚类群聚为一类,显示出蒙山脆枣的分类地位介于枣和酸枣之间。进一步的RAPD分析结果表明,蒙山脆枣与酸枣亲缘关系较近。蒙山脆枣果实长2cm左右,外果皮较薄,中果皮较厚,平均单果重为3.64g,叶片纵横径为6.93cm×3.08cm,形态学性状与枣接近,推测蒙山脆枣可能为供试酸枣类型与枣品种的中间类型。     

建材检测微机控制系统中特征值的提取算法

简要介绍了建材检测微机控制系统的结构及控制过程.详细介绍了建材检测微机控制系统压力控制曲线中去干扰及提取压力最大值的算法的设计及实现过程.根据干扰曲线突变的特点,采用了固定斜率阈值法和连续可调斜率阈值法去除干扰.分析了两种算法的不同特点及适用性.给出了该算法在VisualC 6 0集成开发环境下的流程图及应用结果.该算法已应用到建材检测过程中,取得了良好的效果.     

A New Integrated Design Method Based on Fuzzy Matter-Element Optimization

This paper puts forward a new integrated design met ho d based on fuzzy matter-element optimization.On the based of analyzing the mod el of multi-objective fuzzy matter-element , the paper defines the m atter-element weightily and changes solving multi-objective fuzzy optimization into solving dependent function K(x) of the single-objective optimization according to the optimization criterion. The paper particularly describes the realization approach of GA process of multi -objective fuzzy matter-eleme...     

上海郊区居民和台湾高山族的体质比较

收集了上海郊区13个具有明显方言差异人群的头面部数据4项，和台湾高山族10个群体的参数进行聚类分析，发现上海郊区居民中的南方土著人群与台湾高山的遗传关系较近。     

Some remarks on the Jensen-Hadamard inequalities and applications

We provide some inequalities and integral inequalities connected to the Jensen-Hadamard inequalities for convex functions. In particular, we give some refinements to these inequalities. Some natural applications and further extensions are given.

---

Sunto Forniamo alcune diseguaglianze e diseguaglianze integrali connesse alle dise-gueglianze di Jensen-Hadamard per funzioni convesse. In particolare, diamo qualche miglioramento di queste diseguaglianze. Alcune applicazioni naturali ed ulteriori estensioni sono date.

     

A floating-point genetic algorithm for solving the unit commitment problem

This paper proposes a floating-point genetic algorithm (FPGA) to solve the unit commitment problem (UCP). Based on the characteristics of typical load demand, a floating-point chromosome representation and an encoding–decoding scheme are designed to reduce the complexities in handling the minimum up/down time limits. Strategic parameters of the FPGA are characterized in detail, i.e., the evaluation function and its constraints, population size, operation styles of selection, crossover operation and probability, mutation operation and probability. A dynamic combination scheme of genetic operators is formulated to explore and exploit the FPGA in the non-convex solution space and multimodal objective function. Experiment results show that the FPGA is a more effective technique among the various styles of genetic algorithms, which can be applied to the practical scheduling tasks in utility power systems.