基于量子粒子群优化最小二乘支持向量机的变电站全寿命周期成本预测研究

变电站的规划设计与建设是电力工程建设的重点内容,快速的对变电站全寿命周期成本进行准确预测对变电站的建设具有指导意义.本文建立基于量子粒子群优化最小二乘支持向量机的变电站全寿命周期成本预测模型,将变电站全寿命周期内相关特征指标作为模型的输入,输出为变电站全寿命周期成本.通过仿真算例对比了QPSO优化LS-SVM,PSO优化LS-SVM,传统LS-SVM,BP神经网络4种预测模型的预测结果与相关性能指标.仿真结果表明,QPSO优化LS-SVM模型具有更好的预测精度,在变电站设计建设时能够快速准确的对全寿命周期成本进行预测评估,提高变电站建设的经济性.     

一种基于遗传算法的数据挖掘技术

首先对相关理论进行了概述,阐明了数据挖掘和遗传算法的产生与发展以及他们的相互结合。接着提出了基于遗传算法的关联规则的提取方法。将遗传算法应用到关联规则的提取方面,讨论了遗传算法的编码方法、遗传算子的设计和适应度函数的构造。为了验证算法的有效性,笔者给出一个简单的数据实例,说明了本文方法的有效性。     

健身娱乐中心的风险识别

健身娱乐中心作为一个独立经营的实体，面临着多种风险。本对这些风险进行分析，分为实物资产风险、人力资本风险、法律责任风险和金融资产风险。     

The Fast Evaluation Strategy for Evolvable Hardware

An evolutionary algorithm implemented in hardware is expected to operate much faster than the equivalent software implementation. However, this may not be true for slow fitness evaluation applications. This paper introduces a fast evolutionary algorithm (FEA) that does not evaluate all new individuals, thus operating faster for slow fitness evaluation applications. Results of a hardware implementation of this algorithm are presented that show the real time advantages of such systems for slow fitness evaluation applications. Results are presented for six optimisation functions and for image compression hardware.     

Mental Fitness.

The author explores Andie Knutson's plea for a more appropriate term to describe the positive aspects of mental health (see record 1964-01167-001) and suggest the term mental fitness. She provides the definition of fitness and explains that this concept of mental fitness carries much of the connotation we are groping for. It forms an excellent counterpart for the late President Kennedy's program for physical fitness. At the same time, it avoids the unfortunate connotation of illness, and consequent restriction to medical care. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

管道漏磁内检测中疑似分层缺陷的确认与评价

珠三角某天然气管道在进行管道漏磁内检测缺陷开挖验证检测过程中,发现了管道疑似分层缺陷.经过对钢管出厂资料和驻场监造资料进行核验,采用X射线拍片、超声波相控阵、超声测厚、超声波平底孔双晶直探头等方式对疑似分层缺陷进行检测,明确了管道缺陷类型,并根据检测结果对管道缺陷进行了适用性评价.结果表明:疑似分层缺陷尺寸较小且彼此独...     

Galapagos: On the Logic and Limitations of Generic Solvers

A graduate in architecture and urbanism from TU Delft, David Rutten works with software company Robert McNeel & Associates (RMN). The developer of Grasshopper®, he was recently awarded the ACADIA 2012 award for innovative research. The Galapagos plug-in, which Rutten has developed for Grasshopper®, implements two generic solvers (one using a genetic algorithm and one using a simulated annealing algorithm). A generic solver will find a solution to a problem that can be expressed in a mathematical way; however, as he explains here, while these solutions may not be exact, they will be very good.     

对“三公”调度现有评价指标的思考和建议

"三公"调度现有评价指标仅关注年度发电计划执行的结果,而未考核执行的过程,可能造成发电企业收益不公平,从而影响"三公"调度的公正性和权威性。在分析"三公"调度现有评价指标存在问题的基础上,探讨了改进"三公"调度评价指标的工作思路,并尝试提出一种考虑煤价波动因素的"三公"调度评价新指标。该指标将发电企业之间的"三公"调度差异进行量化衡量,能够反映发电企业在收益上的公平性。算例分析表明,该指标计算简单、易于理解,有助于促进"三公"调度水平的进一步提高。     

改进遗传算法在车牌定位中的应用

为了更好地反映自然界的优胜劣汰,提出改进的遗传算法。在改进的交叉与变异运算中引入个体的适应度。把改进的遗传算法应用于车牌图像分割中,并根据车牌中字符分布的特点,利用车牌内部灰度值的变化频率实现车牌定位。实验结果表明该算法不仅可以获得较好的车牌分割效果,而且能提高车牌定位的速度。     

配电系统综合自动化的研究与设计

针对目前我国的配电网绝大多数为树状结构的架空线可靠性差、送电距离过长、损耗严重、电压质量差的问题,提出了断路器优化定位的数学模型,并应用遗传算法解决非线性优化问题,构造了遗传算法所需要的适应度函数。对基于CAN总线通信方式的配电自动化进行了系统研究,设计了配电自动化系统的整体方案,包括系统设计、功能设计、软件设计和硬件配置等。