PSO-vs-WOA
Optimization comparison
A comparison tool for two optimization algorithms
The Matlab/Octave code contains codes of Whale Optimization Algorithm and Particle Swarm Optimization.
66 stars
2 watching
30 forks
Language: Matlab
last commit: about 7 years agoLinked from 1 awesome list
uhub/awesome-matlabRelated projects:
| Repository | Description | Stars |
|---|---|---|
 heihei12305/mopso | Implementations of Meta-Optimization using Particle Swarm Optimization (MOPSO) in MATLAB, including PSO and MOPSO algorithms. | 145 |
 ljvmiranda921/pyswarms | A toolkit for implementing particle swarm optimization algorithms | 1,295 |
 jiaowenlong/pso | An implementation of the Particle Swarm Optimization algorithm in MATLAB, providing a tool for optimizing complex problems | 86 |
 swanlab/swan | A Matlab toolbox for topology optimization of 2D and 3D structures using density or level-set methods | 147 |
 hiroyuki-kasai/sgdlibrary | A collection of stochastic optimization algorithms for large-scale machine learning problems | 221 |
 ethz-pes/multi_objective_optimization_matlab | A MATLAB toolset for multi-objective optimization using genetic algorithms and other methods. | 53 |
 vonsylvia/matlab_algorithm_with_cases | A collection of implementations for various optimization algorithms in MATLAB | 443 |
 deng-cy/deep_learning_topology_opt | Optimization code for topology optimization problems using machine learning and deep learning techniques | 107 |
 iralabdisco/pso-clustering | An implementation of a clustering algorithm using Particle Swarm Optimization (PSO), specifically designed to group similar data points together. | 68 |
 matthewpeterkelly/particleswarmoptimization | An optimization algorithm implementation in Matlab. | 83 |
 moskomule/eve.pytorch | An implementation of an optimization algorithm inspired by a 2016 research paper | 33 |
 locuslab/optnet | A PyTorch module that adds differentiable optimization as a layer to neural networks | 517 |
| hiroyuki-kasai/gdlibrary | A collection of unconstrained optimization algorithms implemented in MATLAB | 67 |
 liukewia/solving-tsp-vrp | This MATLAB project implements heuristic algorithms for solving two classic optimization problems in logistics and transportation planning | 119 |
 jiangoforit/yellowfin_pytorch | An optimizer that automatically tunes momentum and learning rate using local quadratic approximation. | 287 |