序列无约束极小化技术和遗传算法在非线性规划中的应用

提出了一种求解带约束非线性规划问题的一般方法。与现有的方法相比,它不受可导性、单峰性和是否病态等因素的限制,适用范围广。实例说明该算法对带约束非线性规划问题的求解十分有效。     

Application of stochastic method to optimum design of energy-efficient induction motors with a target of LCC

For an energy-efficient induction machine, the life-cycle cost (LCC) usually is the most important index to the consumer. With this target, the optimization design of a motor is a complex nonlinear problem with constraints. To solve the problem, the authors introduce a united random algorithm. At first, the problem is divided into two parts, the optimal rotor slots and the optimization of other dimensions. Before optimizing the rotor slots with genetic algorithm (GA), the second part is solved with TABU algorithm to simplify the problem. The numerical results showed that this method is better than the method using a traditional algorithm. Project (No. 601299) supported by the Science Foundation of Hebei Province, China.     

Two-stage evolutionary algorithm for dynamic multicast routing in mesh network

In order to share multimedia transmissions in mesh networks and optimize the utilization of network resources, this paper presents a Two-stage Evolutionary Algorithm （TEA）, i.e., unicast routing evolution and multicast path composition, for dynamic multicast routing. The TEA uses a novel link-duplicate-degree encoding, which can encode a multicast path in the link-duplicate-degree and decode the path as a link vector easily. A dynamic algorithm for adding nodes to or removing nodes from a multicast group and a repairing algorithm are also covered in this paper. As the TEA is based on global evaluation, the quality of the multicast path remains stabilized without degradation when multicast members change over time. Therefore, it is not necessary to rearrange the multicast path during the life cycle of the multicast sessions. Simulation results show that the TEA is efficient and convergent.     

试论数据挖掘中的遗传算法

本文对数据挖掘进行了概述，阐明了数据挖掘的概念、数据挖掘在商业中的意义。如何进行数据挖掘及数据挖掘流程，提出了数据挖掘技术中的一个重要算法-遗传算法的基本原理以及遗传算法在数据挖掘技术中的地位。提出了基于遗传算法的关联规则的提取方法。文章还给出了用遗传算法进行关联规则挖掘的实例，并讨论了数据挖掘技术所面临的问题和挑战。     

基于C/S和B/S模式的网络考试系统的设计与实现

本文论述了一个基于Client／Server模式与Browser／Server模式相结合的网络考试系统的设计与实现，详细介绍了其系统结构、各系统功能模块及软件设计方法。     

花岗岩成因研究的若干问题

花岗岩是大陆地壳的重要组成,是地质学研究的重要课题.本文对当前花岗岩研究中的几个重要问题进行了讨论,内容包括：（1）花岗岩的成因分类,（2）花岗岩浆起源的温度与压力条件,（3）结晶分异作用与花岗岩成分变化,（4）花岗岩成因与壳幔演化,（5）花岗岩形成的构造环境等.通过分析认为,高分异花岗岩成因类型的确定是比较困难的,在有些情况甚至不可能准确分类.花岗岩的锆饱和温度和锆石钛温度计可对花岗岩浆形成的温度提供重要信息,但花岗岩浆起源的压力条件确定相对困难.花岗岩主要形成于俯冲带或碰撞造山带后造山的拉张构造背景中,在这两种情况下,挥发份和热的加入可使地壳发生部分熔融而形成花岗岩.本文还对我国近年来花岗岩研究的进展情况做了概要性叙述,并就我国东部中生代花岗岩研究的近期突破问题进行了分析.     

An Holistic Approach for Counsellors: Embracing Multiple Intelligences

This paper explores a range of therapeutic modalities used by counsellors of children and positions those modalities within Gardner’s theory of multiple intelligences. Research by O’Brien (Gardner’s theory of multiple intelligence and its implications for the counselling of children. Unpublished doctoral dissertation, Queensland University of Technology, Brisbane, Australia, 1999) revealed that by drawing on a combination of preferred intelligences, children were able to enhance the dialogue between the unconscious and conscious, while strengthening the relationship between the counsellor and client. A number of useful counselling approaches are highlighted in working with children, particularly younger children who have not yet developed language sufficient for more formal counselling sessions. Suggestions that assist counsellors to operate across settings are explored.     

The Relationship of Supervisory Experience, Counseling Experience, and Training in Supervision to Supervisory Identity Development

The relationship between supervisory identity development and supervisory experience, counseling experience, and training in supervision was examined for Association for Counselor Education and Supervision (ACES) members. Analyses indicated that supervisory experience and training were related to supervisory identity development, whilst counseling experience was not. The implications of these findings are discussed in relation to the importance of supervisor credentials.     

遗传算法在数据挖掘中的应用研究

将遗传算法应用到关联规则的挖掘，提出采用遗传算法提取关联规则的方法，并讨论遗传算法的编码方法和适应度函数的构造．最后结合一个具体的实例，给出基于遗传算法的关联规则的提取算法．     

The 2004 Bower Award in Science presented to Seymour Benzer

Seymour Benzer was chosen for founding the field of neurogenetics, and for his seminal discoveries of the genetic basis of behavior. His pioneering studies made it possible to begin to acquire key information necessary to understand the human brain.