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intro
- The tutorials are independent of the rest of the document. The primarily objective is to help you learn quickly the fi rst steps. The emphasis here is “learning by doing”. Therefore, the best way to learn is by trying it yourself. Working th
PMU_PSS2
- The main objective of this paper is the enhancement of power system stability by using complex structure of Power System Stabilizers (PSS) in the voltage regulation loop of synchronous generators. The PSS uses multiple local and remote input si
Online-Antenna-Tilt-Based-Capacity-and-Coverage-O
- propose using a probability distribution function (PDF) of throughput measurements and an estimate of the number of covered and uncovered users of each cell considered for optimization in order to construct an objective function which is bett
ga
- The genetic algorithm is a method for solving both constrained and unconstrained optimization problems that is based on natural selection, the process that drives biological evolution. The genetic algorithm repeatedly modifies a population of individ
26
- 脉动风荷载的数值模拟 谐波叠加法 离散谱逼近目标函数-Numerical Simulation of fluctuating wind load harmonic superposition method Discrete Spectral Approximation objective function
Transients-Quiz-original1
- Power system Transients objective quize-Power system Transients objective quize.........
Multi-objective-reactive-power-optimization
- The document details optimization of reactive power in DG systems integrated to utility networks
MOPSOmatlab
- 多目标粒子群算法（多目标粒子群的基本源代码,两个目标的源代码）-Multi-objective Particle Swarm Optimization
241SVM-Feedback-Linearization-Control-of-Three-le
- This paper presents a nonlinear control scheme for back-to-back High Voltage Direct Current (HVDC) system based on feedback linearization control, using three-phase three-level voltage source converter. The design of the proposed nonlinear controller
PE_doc_29919
- Commonly used uation measures including Recall, Precision, F-Measure and Rand Accuracy are biased and should not be used without clear understanding of the biases, and corresponding identification of chance or base case levels of the statistic.
MOPSO-based-on-adaptive-mutaiton
- 基于自适应变异的对多目标粒子群算法的改进算法-Based on the multi-objective particle swarm algorithm for improved algorithm of adaptive mutation
1-s2.0-S0925231212007722-main
- 不确定环境下的机器人路径规划的多目标粒子群优化算法-Robot path planning in uncertain environment using multi-objective particle swarm optimization