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kingdee
- 2008年培训针对的版本： 金蝶EAS BOS V540 培训内容：《金蝶EAS BOS标准培训课程》 集成开发环境准备 课程案例分析 业务建模工具的介绍及应用 工作流的概念及设计 数据转换流程设计（BOTP） 报表及套打设计 预警平台 权限设置 元数据介绍 设计成果的发布部署 Kscr ipt脚本介绍 认证考试（笔试） 培训天数：5天 培训方式：教学与现场练习相结合的方式 认证考试 培训结束后进行认证考试（笔试）
MTK_ARM_7
- mtk arm7 structure MTK for MediaTek companies to provide GSM software program. It includes five parts: -- "L1 agreement -- "Device Driver -- "Protocol Stack -- "MMI -- "WAP application MediaTek offers three tools: -- "Catcher
mkclean-win32.v0.6.0
- mkclean is a command line tool to clean and optimize Matroska (.mkv / .mka / .mks / .mk3d) and WebM (.webm / .weba) files that have already been muxed. It reorders the elements with the Cues at the front, so your Matroska files are ready to be stream
Data-warehouse
- 本书论述在设计和建造数据仓库中涉及的所有主要问题，论述分析型环境(决策支持系统环境)以及在这种环境中的数据构造。主要内容包括数据仓库的设计与建造步骤，传统系统到数据仓库的迁移，数据仓库的数据粒度、数据分割、元数据管理、外部数据与非结构化数据，分布式数据仓库、高级管理人员信息系统和数据仓库的设计评审等。 本书主要是面向数据仓库的设计、开发和管理人员，以及构造和使用现代信息系统的人员，也适于信息处理方面的高校师生和从事传统数据库系统技术工作的人阅读。-This book discusses the
DSL-and-MetaEditP-example
- 本论文是基于“元模型”的软件开发，是DSL建模语言的研究与实践，历时3个月，先后研究了“家族图谱”，“电子手表”的领域建模，通过编辑生成器，自动从模型生成最终可执行代码。即实现了普通人都可以编写软件的目的。本论文对于 软件建模 相关人员 具有前瞻性和方向性。-This paper is based on " meta model" of software development, and DSL modeling language research and practice,
CPP-GUI-QT4-
- Qt是一个1991年由奇趣科技开发的跨平台C++图形用户界面应用程序开发框架。它既可以开发GUI程式，也可用于开发非GUI程式，比如控制台工具和服务器。Qt是面向对象的框架，使用特殊的代码生成扩展（称为元对象编译器(Meta Object Compiler, moc)）以及一些宏，易于扩展，允许组件编程。-Qt is a Trolltech developed in 1991 by C++ cross-platform graphical user interface application d
rand03.6
- In order to minimize power losses caused by high current and improve the voltage profile in the network distribution, the introduction of dispersed generations also called productions decentralized in distribution network (DG) plays an important role
The-new-meta-heuristic-algorithm-bat
- 摘要：新型元启发式算法例如粒子群算法，萤火虫算法，和声搜索算法已经成为现今复杂的优化问题的有效解决方法。该文基于蝙 蝠的回声定位行为提出了一种新型的元启发式算法———蝙蝠算法，同时也将现有的一些算法的优点引入到该算法中。 改文对该算 法进行了详细的公式化表述并对其执行流程的作出了说明，并且将该算法与遗传算法、粒子群优化算法等算法进行了比较。仿真结 果表明,蝙蝠算法明显优于其他算法，并对进一步的研究作出了展望。-Summary: The new meta-heuristic algor
10.1016-j.eswa.2012.12.093(1)
- System reliability analysis and optimization are important to efficiently utilize available resources and to develop an optimal system design architecture. System reliability optimization has been solved by using optimization techniques including met
FEX-GODLIKE-0.5
- 单/多目标优化程序，内含说明文档和Matlab程序-Global Optimum Determination by Linking and Interchanging Kindred Evaluators. This algorithm is an attempt to gen- eralize and improve the robustness of the four meta-heuristic optimization al- gorithms GA, PSO, DE and
SA-TSP
- Simulated Annealing (SA) is the oldest probabilistic meta-heuristic algorithm and one of the first algorithms having ability to avoid being trapped in local minima. It is inspired by the process of annealing in metallurgy. In this process a m
A-hybrid-cuckoo-search-and-genetic-algorithm-for-
- Solving reliability and redundancy allocation problems via meta-heuristic algorithms has attracted increasing attention in recent years. In this study, a recently developed meta-heuristic optimization algorithm cuckoo search (CS) is hybridized wi
yiqunlvxing
- 蚁群优化是一种元启发式的随机搜索技术,是目前解决组合优化问题最有效的工具之一.将信 息素更新和随机搜索机制的改进相结合,提出一种快速求解旅行商问题的蚁群算法-Ant colony optimization is a kind of meta heuristic random search technique, is one of the most effective tool to solve combinatorial optimization problem. The letter
FIFA
- meta heuristic algorithm FIFA applied to AVR system.
00b4951ab44ed1b4e4000000
- Our previous work on real-valued function optimization problems had shown that cultural learning emerged as the result of meta-level interaction or swarming of knowledge sources, “knowledge swarms” in the belief space. These meta-level swarms i
8a84c82850579e3a5e0d221bf92f63b1ffd5
- The Bee Colony Optimization (BCO) meta-heuristic deals with combinatorial optimization problems. It is biologically inspired method that explores collective intelligence applied by the honey bees during nectar collecting process. In this paper we
ffd5
- The Bee Colony Optimization (BCO) meta-heuristic deals with combinatorial optimization problems. It is biologically inspired method that explores collective intelligence applied by the honey bees during nectar collecting process. In this paper we