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Novel-NSEW-Affine-transformation-for-strategic-fr
- Video compression standards follow certain principles for frame identification based on Group of Pictures (GOP). It was observed that instead of following the pre-coded GOP, if frames are adaptively chosen based on simple matching criteria, further p
Novel-nsew-transform-for-strategic-adaptation
- Video compression standards follow certain principles for frame identification based on Group of Pictures (GOP). It was observed that instead of following the pre-coded GOP, if frames are adaptively chosen based on simple matching criteria, further p
Power-Optimization
- 电力系统无功优化对确保电力系统优化运行具有重要作用,它直接关系到电力系统运行的安全性与经济性。在已有研究成果的基础上,提出了单目标／多目标的导向搜索算法与单目标／多目标的动态多群体自适应差分进化算法,对电力系统静态单目标无功优化、静态多目标无功优化、动态单目标无功优化、动态多目标无功优化、典型函数优化等问题进行了深入的研究和探讨。-Reactive power optimization to ensure the optimal operation of the power system pla
Coordination-and-Optimization
- 将网损价格因子和网损协调系数引入目标函数,建立了改进直流潮流模型,实现了负荷在机组间的最优分配 利用交流潮流方法计算系统实际网损,并利用增量直流潮流模型将网损在机组间进行合理分摊 最后利用交直流迭代思想修正网损价格因子和网损协调系数以优化网损分配方案。IEEE14节点和IEEE118节点算例验证了该方法的可行性,算例结果充分逼近了交流最优潮流的计算结果,符合实际系统运行状况。-The net loss and net loss of coordination price factor intro
yichuansuanfa
- 遗传算法（Genetic Algorithm，GA）是通过对自然界中生物的遗传和优胜劣汰的进化过程进行模拟与抽象，进而形成的一种自适应全局随机优化搜索方法。遗传算法只需提供目标函数作为寻优信息，它从某一随机生成的初始群体出发，经过选择、交叉和变异等遗传操作后对个体进行适应度评价，保留适应度较强的个体遗传到子代种群中，经过多次的迭代计算求得最优个体，即问题的最优解。本程序采用遗传算法可求解微网优化运行。-Genetic Algorithm is an adaptive global by natu
microgrid-optimization-simulation-
- 微网的经济运行研究_李乐，智能电网经济运行的多目标调度优化策略_英文_郑漳华，基于Matlab_Simulink的微型燃气轮机动态仿真研究_严志远向文国张士杰-Micro-economic research network run _ Lee, Multi-objective economic operation of smart grid scheduling optimization strategy _ English _ Zheng Zhang Hua, dynamic simulati
The-Swift-Programming-Languag
- 来自苹果的编程语言——Swift简介，这篇文章简要介绍了苹果于WWDC 2014发布的编程语言——Swift。-Swift is a new programming language for iOS and OS X apps that builds on the best of C and Objective-C, without the constraints of C compatibility.
mobj
- it moti objective function
Optimal stochastic reactive power scheduling in a microgrid considering voltage droop scheme of DGs and uncertainty of w
- Distributed Generators (DGs) in a microgrid may operate in three different reactive power control strategies, including PV, PQ and voltage droop schemes. This paper proposes a new stochastic programming approach for reactive power scheduling of a mic
30-p1795-114191
- 基于二阶泛模型的无模型自适应控制及参数整定，充分利用无模型自适应控制边建模边控制的特点，推导基于二阶泛模型的改进无模型自适应控制，应用辨识出的近似模型针对不同目标函数进行优化-Pan model based on second order approximation model of model-free adaptive control and parameter tuning, make full use of model-free adaptive control side edge co
DC10_sol
- Data Base Objective types with answer attached in this document.
Particle-Swarm-Optimization
- 水库群调度的粒子群优化原理ppt介绍，包括原理目标函数约束等具体内容-Particle swarm optimization principle reservoir group scheduling ppt presentation, including the principle of objective function constraints specific content
Eight-CPU-design-based-on-FPGA-
- 本文对经典算法Canny算子和基于模糊理论的边缘提取方法进行理论分析、仿真实验和性能对比。最后对两种方法进行对比评价。图像边缘提取性能的评价标准主要包括主观和客观方法。-In this paper, the classical algorithm Canny operator and edge extraction method based on fuzzy theory theoretical analysis, simulation and performance comparison. F
pso1
- Economic load dispatch problem is allocating loads to plants for minimum cost while meeting the constraints. It is formulated as an optimization problem of minimizing the total fuel cost of all committed plant while meeting the demand and losses .The
emission
- Economic load dispatch problem is allocating loads to plants for minimum cost while meeting the constraints. It is formulated as an optimization problem of minimizing the total fuel cost of all committed plant while meeting the demand and losses .The
SOURCE-CODE
- TITLE : Personnel Information System Developed in: C++ Objective: To maintain a of personnel information with facilities of add, search, modify, delete, display. Special Features: Password protected encoded . - TITLE : Person
GA-MOO
- Genetic Algorithm for multi objective optimization
Protein-Fauction-Prediction-Using-Data-Mining-App
- The main objective of my thesis is protein function prediction using Data mining approaches i.e. to find to which class the large data sets of protein structure belongs to.
4413sipij08_2
- FEATURE EXTRACTION USING MFCC:Mel Frequency Ceptral Coefficient is a very common and efficient technique for signal processing. This paper presents a new purpose of working with MFCC by using it for Hand gesture recognition. The objective of usin
firefly_simple
- 萤火虫算法（Firefly Algorithm）是一种启发式算法，灵感来自于萤火虫闪烁的行为。萤火虫的闪光，其主要目的是作为一个信号系统，以吸引其他的萤火虫。剑桥大学的Xin-She Yang（音译：杨新社）教授提出了萤火虫算法，其假设为[1]： 萤火虫不分性别，这样一个萤火虫将会吸引到所有其他的萤火虫 吸引力与它们的亮度成正比，对于任何两个萤火虫，不那么明亮的萤火虫被吸引，因此移动到更亮的一个，然而，亮度又随着其距离的增加而减少 如果没有比一个给定的萤火虫更亮的萤火虫，它