Simulation results show that the algorithm is able to provide switching angles over a wider modulation index range than Newton Raphson technique and is capable of minimising the objective function better than Genetic Algorithm. MATLAB/Simulink-PSIM dynamic co-simulation performed on a three-phase 7-...
In this section the experiments for compared models were performed with a laptop configuration Core i5, 8 GB RAM, 2.4 GHz CPU, and MATLAB R2014a. The GOAMLP classifier is evaluated using the two data sets. The first dataset is Spam Base and consists of 4601 instances with 57 features. It...
All simulations were performed using MATLAB software on an Intel Core i7-4770 CPU, 3.40 GHz PC. 4.1. Validation of the proposed rule-based energy management scheme This section presents the results of the resiliency of the REMS before optimizing it using the proposed capacity planning algorithm (...
简介:蝗虫算法( Grasshopper Optimization Algorithm,GOA ) 是由 Saremi 等[1]于2017 年提出的一种元启发式仿生优化算法,具有较高的搜索效率和较快的收敛速度,且算法本身特殊的自适应机制能够很好地平衡全局和局部搜索过程,具有较好的寻优精度。 内容:
Grasshopper optimization algorithmWind power installation has been rapidly increasing around the globe, which resulted in a massive penetration into the electric grids. So, tremendous attempts are exerted to improve the behaviour of the grid-tied permanent magnet synchronous generator driven by a variable...
system under start up transients, line disturbances, load disturbances, servo conditions and partial shading conditions are evaluated and compared with the conventional Perturb and Observe (P&O) based MPPT and the familiar Particle Swarm Optimization (PSO) based MPPT algorithm using MATLAB Simulink ...
In feature extraction, texture, Local Binary Pattern (LBP) and fractal‐based features were extracted using Matlab software. Then using Grasshopper Optimization Algorithm (GOA), parameters of three different classification methods including Random Forest (RF), K㎞earest Neighbor (KNN) and Support ...
A grasshopper optimization algorithm (GOA) is used to tune the parameters of FP㏄ID controller with Integral of time multiplied squared error (ITSE) as the objective function. The proposed method is compared with conventional two゛rea and three゛rea system, the result are built﹊n Simulink/...
This approach is applied on the Prima Indian Dataset, using MATLAB software. The study result has shown promising accuracy of 97% achieved by the Support-Vector Machine (SVM) algorithm. A comparison is also made between the most recent AI algorithms and that of the present study to show the...
The proposed optimization is programmed using MATLAB simulation package. The simulation results confirm that GOA is able to optimally size the system as compared to its counterparts, CS and PSO. In which, a decrement of 14% and 19.3% is achieved in the system capital cost, respectively....