SylvanHuang / OptAlgorithmsLinks
differential evolution (DE), particle swarm optimization (PSO), delayed rejection Markov Chain (MCMC), Metropolis adjusted differential evolution (MADE), Metropolis adjusted Langevin defined on the Riemann manifold (PRML)
☆12Updated 8 years ago
Alternatives and similar repositories for OptAlgorithms
Users that are interested in OptAlgorithms are comparing it to the libraries listed below
Sorting:
- MCMC, Differential Evolution Markov Chain, Ensemble Kalman filter, Approximate Bayesian Computing-Population Monte Carlo, and modeling av…☆36Updated 9 years ago
- Matlab implementation of particle swarm optimization. Well documented with examples.☆88Updated 9 years ago
- The STK is a (not so) Small Toolbox for Kriging. Its primary focus is on the interpolation/regression technique known as kriging, which i…☆41Updated 7 months ago
- Whale Optimization Algorithm used to train Neural Network☆19Updated 8 years ago
- RIME A physics based optimization algorithm, Neurocomputing, 2023 https://doi.org/10.1016/j.neucom.2023.02.010, This paper proposes an ef…☆16Updated 9 months ago
- Particle Swarm Optimization☆22Updated 8 years ago
- Robust regularized Extreme Learning Machine (ELM) for regression using Iteratively Reweighted Least Squares (IRLS).☆34Updated 8 years ago
- # Introduction of DNN-AR-MOEA This repository contains code necessary to reproduce the experiments presented in Evolutionary Optimization…☆26Updated 4 years ago
- A tutorial for Time-Frequency estimation using Empirical Mode Decomposition and Hilbert-Huang Transform☆20Updated 6 years ago
- This repository displays the demos of some Intelligent Optimization Algorithms, including SA (Simulated Annealing), GA (Genetic algorithm…☆264Updated 8 years ago
- Heterogeneous comprehensive learning and dynamic multi-swarm particle swarm optimizer with two mutation operators (HCLDMS-PSO).☆16Updated 4 years ago
- ☆12Updated last year
- EnKF in Matlab for a system of two PDEs modeling burglar behavior (model of Short et al.)☆12Updated 7 years ago
- Optimization Problems Toolbox☆13Updated 5 months ago
- Application of Salp Swarm Algorithm (SSA) in the feature selection tasks.☆10Updated 4 years ago
- A MATLAB implementation of the co-kriging process using the DACE toolbox☆37Updated 8 years ago
- Application of Whale Optimization Algorithm (WOA) in the feature selection tasks.☆27Updated 3 years ago
- Include BP / GA_SVM / GS_SVM / KNN / LDA / PCA / PSO_SVM☆29Updated 3 years ago
- Grey wolf optimizer based on random opposition learning, strengthening hierarchy of grey wolves and modified evolutionary population dyna…☆16Updated 3 years ago
- Tutorials and examples of advanced sampling methods for solving Bayesian Model Updating Problems☆17Updated 10 months ago
- Improve Deep Learning based CNN & Extreme Learning Machine With Particle Swarm Optimization (Deep PSO) For Classification☆19Updated last year
- Matlab Inversion Collection, including iterative methods and global optimization methods.☆17Updated 4 years ago
- Our Load Forecasting using LSSVM tuned by IGWO. Paper coming soo.. welp, looks like no paper for this one guys.☆10Updated last year
- matlab code achieving Hierarchical Kriging model (a kind of variable fidelity surrogate, which can be regard as an improved version of co…☆21Updated 5 years ago
- MOMPA: a high performance multi-objective optimizer based on marine predator algorithm☆19Updated last year
- Grey Wolf Optimizer Matlab☆63Updated last year
- Application of Multi-objective Optimization Algorithm in Cluster Task Scheduling Problem☆27Updated 6 years ago
- This is a compact code for reliability analysis under uncertainty using a Polynomial Regression Machine Learning approach. The code imple…☆13Updated 5 years ago
- Tinysimpler / Neural-network-nonlinear-function-fitting-based-on-particle-swarm-optimization-algorithmsPSO , Simulated Annealing PSO , Chaotic SAPSO, Neural network, Nonlinear Function☆11Updated 3 years ago
- Gaussian Processes regression with gaussian kernel implementation.☆26Updated 10 years ago