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.
63 stars
2 watching
29 forks
Language: Matlab
last commit: over 5 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
heihei12305/mopso | Implementations of Meta-Optimization using Particle Swarm Optimization (MOPSO) in MATLAB, including PSO and MOPSO algorithms. | 144 |
ljvmiranda921/pyswarms | A toolkit for implementing particle swarm optimization algorithms | 1,283 |
jiaowenlong/pso | An implementation of the Particle Swarm Optimization algorithm in MATLAB, providing a tool for optimizing complex problems | 84 |
swanlab/swan | A Matlab toolbox for topology optimization of 2D and 3D structures using density or level-set methods | 143 |
hiroyuki-kasai/sgdlibrary | A collection of stochastic optimization algorithms for large-scale machine learning problems | 218 |
ethz-pes/multi_objective_optimization_matlab | A MATLAB toolset for multi-objective optimization using genetic algorithms and other methods. | 51 |
vonsylvia/matlab_algorithm_with_cases | A collection of implementations for various optimization algorithms in MATLAB | 438 |
deng-cy/deep_learning_topology_opt | A toolkit for using machine learning to optimize complex geometries in simulations | 107 |
iralabdisco/pso-clustering | An algorithm for unsupervised machine learning tasks involving grouping similar data points into clusters. | 68 |
matthewpeterkelly/particleswarmoptimization | An optimization algorithm implementation in Matlab. | 82 |
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 | 513 |
hiroyuki-kasai/gdlibrary | A collection of unconstrained optimization algorithms implemented in MATLAB | 65 |
liukewia/solving-tsp-vrp | This MATLAB project implements heuristic algorithms for solving two classic optimization problems in logistics and transportation planning | 116 |
jiangoforit/yellowfin_pytorch | An optimizer that automatically tunes momentum and learning rate using local quadratic approximation. | 287 |