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cpp-0-1-resource

C++ 匠心之作 从0到1入门资料

matlabtoolbox

particle-swarm-optimization-based-maximum-power-point-tracker-algorithm

Photovoltaic cell characteristic is nonlinear whose output power varies as function of the irradiance and temperature. The reason for the non linear is because, the value of irradiance and temperature changes throughout the day, thus decreasing the output efficiency. Also, the efficiency of these Photovoltaic modules is not satisfied by the power requirement. Hence, an algorithm to increase the efficiency of the PV module needs to be designed to solve the discrepancies among the efficiency of the cell and the power requirement. Hence, the objective of this project is to design and model the Particle Swarm Optimization assisted MPPT algorithm and enhance the efficiency of the photovoltaic system.

particle-swarm-optimization-pso-for-mppt

Maximum Power Point Tracking for Solar Panels using Particle swarm optimization (PSO)

simulated-annealing-parallelization

全国并行应用挑战赛作品-利用MPI并行编程技术实现对解决TSP问题的模拟退火算法优化

slime-mould-algorithm-a-new-method-for-stochastic-optimization-

In this paper, a new stochastic optimizer, which is called slime mould algorithm (SMA), is proposed based upon the oscillation mode of slime mould in nature. The proposed SMA has several new features with a unique mathematical model that uses adaptive weights to simulate the process of producing positive and negative feedback of the propagation wave of slime mould based on bio-oscillator to form the optimal path for connecting food with excellent exploratory ability and exploitation propensity. The proposed SMA is compared with up-to-date metaheuristics in an extensive set of benchmarks to verify the efficiency. Moreover, four classical engineering structure problems are utilized to estimate the efficacy of the algorithm in optimizing engineering problems. The results demonstrate that the algorithm proposed benefits from competitive, often outstanding performance on different search landscapes. The source codes and info of SMA are publicly available at: http://www.alimirjalili.com/SMA.html

stm32

STM32库 测试板：洋桃1号开发板

wind_generation_forecast

Very short-term analysis of wind power generation in a probabilistic forecasting framework with MATLAB (Master Thesis 2018)