Improved particle swarm optimization (PSO) algorithm
- Mathematical optimizer (e.g. multi-method and multi-objective optimizer based on the PSO (Particle Swarm Optimization) algorithm, GA (Gentic Algorithm) and GD (Gradient Descent) method);
- Electrical models (e.g. PMSM (Permanent Manget Synchronous Motor) control and modelling);
- Thermal models (e.g. heat pumpts, etc.);
- Etc.
- TestCase01_SingleObjFunOpt: Experimental data fitting.
- TestCase02_MultiObjFunOpt
- Open the folder associated to one of the two test cases;
- Run "Fitting.m" or "Minimization.m" according to the test case you have choosen
- Open the folder associated to one of the two test cases;
- Modify the script to calculate the objective function to be optimized in the "ObjFun_fun.m" file mantaining the input and output data formats;
- Modify the parameters in the main file ("Fitting.m" or "Minimization.m" according to the best case you have choosen)
- Run the main file ("Fitting.m" or "Minimization.m" according to the best case you have choosen)
- Optimization of dynamic models on Simulink (look at my other projects on the File Exchange portal
Citar como
Federico Giai Pron (2024). Improved particle swarm optimization (PSO) algorithm (https://github.com/FGP310592/ParticleSwarmOptimization/releases/tag/4.1.12), GitHub. Recuperado .
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TestCase01_SingleObjFunOpt
TestCase02_MultiObjFunOpt
Versión | Publicado | Notas de la versión | |
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4.1.12 | See release notes for this release on GitHub: https://github.com/FGP310592/ParticleSwarmOptimization/releases/tag/4.1.12 |
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4.1.10 | See release notes for this release on GitHub: https://github.com/FGP310592/ParticleSwarmOptimization/releases/tag/4.1.10 |
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3.1.0.0 | See release notes for this release on GitHub: https://github.com/FGP310592/ParticleSwarmOptimization/releases/tag/3.1 |
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1.1.2 | - Changed the name of the file |
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1.1.1 | - PSO parameters moved from "Optimization_PSO_v0x.m" to "Fitting.m", for simplifying the access.
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1.0.1 | Comments |
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1.0.0 |