基于多宇宙并行量子遗传算法的非线性盲源分离算法研究

在系统分析非线性盲源分离模型和算法的基础上,提出了基于输出信号联合累积量的非线性盲 源分离算法,并提出采用多宇宙并行量子遗传算法的优化求解方法,仿真结果表明了算法的有效性。     

塔里木盆地巴楚地区寒武系肖尔布拉克组储层特征及成因模式

针对塔里木盆地巴楚地区肖尔布拉克组储层研究较为薄弱的问题,通过多口井岩心观察、薄片鉴定和地化分析,认为该区肖尔布拉克组主要发育晶粒白云岩和泥微晶白云岩,储层物性受岩石结构控制明显,其中细晶白云岩及粉晶白云岩孔渗性能最好。肖尔布拉克组储层储集空间以晶间孔、溶蚀孔洞和裂缝为主,整体上属于低排驱压力细-中孔喉道型,储集性能较好。储层经历多种白云石化作用改造,以埋藏白云石化作用为主,受一定热液作用影响。储层受喜马拉雅期构造作用影响较大,破裂形成的裂缝沟通残余孔隙,多期酸性流体渗入叠加改造,一定程度上增加了储集空间,形成现今优质储层。综合认为巴楚隆起肖尔布拉克组储层在多期构造断裂叠加区域储集能力最好。     

Synchronisation Techniques for HIPERLAN

Timing recovery in the High Performance Radio Local Area Network (HIPERLAN) standard is likely to be performed with the aid of synchronisation sequences embedded in the user data, which will be detected with matched filters. A directed search using a form of genetic algorithm has been performed to obtain suitable sequences of lengths up to 80 bits, and simulations of their performance have been undertaken. Performance of the sequences has been measured under the severe channel conditions that pertain in the indoor environment.     

气孔状火山碎屑岩储集层成因特征及油气勘探意义

在克拉玛依油田夏72 井区风城组发现了一套罕见的气孔状火山碎屑岩储集岩, 通过大铸体薄片显微镜下微观分析, 对该类储集岩的组分特征、结构构造、孔隙类型进行了系统研究, 对其成因机理及油气勘探意义进行了探讨,认为该套储集岩为喷出的炙热火山灰流, 受到地表汽化水蒸气的影响, 沉积时发生不均匀重熔作用形成的气孔状重熔流纹质弱熔结含火山砾玻屑凝灰岩; 岩体的下部收缩裂缝及溶孔发育, 渗流作用较好, 为良好的储集、渗流层, 中上部气孔及基质微孔发育, 为良好的储集层, 具有较大的勘探潜力。     

A genetic algorithm‐based task scheduling for cloud resource crowd‐funding model

With the rapid development of cloud computing, the number of cloud users is growing exponentially. Data centers have come under great pressure, and the problem of power consumption has become increasingly prominent. However, many idle resources that are geographically distributed in the network can be used as resource providers for cloud tasks. These distributed resources may not be able to support the resource‐intensive applications alone because of their limited capacity; however, the capacity will be considerably increased if they can cooperate with each other and share resources. Therefore, in this paper, a new resource‐providing model called “crowd‐funding” is proposed. In the crowd‐funding model, idle resources can be collected to form a virtual resource pool for providing cloud services. Based on this model, a new task scheduling algorithm is proposed, RC‐GA (genetic algorithm for task scheduling based on a resource crowd‐funding model). For crowd‐funding, the resources come from different heterogeneous devices, so the resource stability should be considered different. The scheduling targets of the RC‐GA are designed to increase the stability of task execution and reduce power consumption at the same time. In addition, to reduce random errors in the evolution process, the roulette wheel selection operator of the genetic algorithm is improved. The experiment shows that the RC‐GA can achieve good results.     

Design of Scannable Non‐uniform Planar Array Structure for Maximum Side‐Lobe Reduction

In this letter, we propose a novel design scheme for an optimal non‐uniform planar array geometry in view of maximum side‐lobe reduction. This is implemented by a thinned array using a genetic algorithm. We show that the proposed method can maintain a low side‐lobe level without pattern distortion during beam steering.     

基于遗传算法的微波均衡器仿真和工程设计

研究了用于均衡行波管增益的微波均衡器的计算机仿真和工程设计问题。理论分析并建立了均衡 器的一般微波网络模型,该网络模型具有数十个优化变量,能够使均衡器实现任意有理函数类的均衡曲线。利用遗 传优化算法完成多变量的单目标或多目标优化,最终根据优化结果来具体实现均衡器的工程设计并为后期调试提 供指导。设计了一种C 波段10 阶同轴均衡器,实物调节和测试表明该设计对该波段的各种均衡曲线均有很好的适 应性,均衡误差1dB 以内,其中均衡枝节还具有温度补偿特性,高低温温飘小于5MHz。     

基于混合并行遗传算法的网格资源分配策略

网格是利用互联网或专用网络将地理上广泛分布的、异构的、动态的资源互联起来实现资源高度共享与集成，为用户提供高性能的计算、管理和服务等功能的一项新技术。但如何将网格这个复杂环境中的资源有效进行管理和调度，是一个NP难问题，同时也是网格技术发展的关键。启发式算法被证明是解决这类问题的有效算法，将两个启发式算法结合起来，充分发挥各自的优势，就能有效解决网格资源分配的问题。因此，利用混合并行遗传算法来解决网格资源分配是可行的。     

五子棋中的博弈智能设计

博彝是人工智能的主要研究领域之一，他涉及人工智能中的推理技术、搜索方法和决策规划。本文将这些技术用于五子棋中．设计了一个智能五子棋系统，实现人和计算机两方进行博弈。     

基于遗传算法的宽带加权子空间拟合测向算法

宽带信号测向一直是信号处理领域研究的难点.本文把窄带情形下的加权子空间拟合测向算法推广到宽带情形,构造了一个目标函数,然后应用遗传算法进行非线性全局优化,即可得到波达方向估计值,同时避免了对入射方向进行预估计.把本文算法应用到均匀线阵上,仿真实验结果证明了算法的有效性.