Improved particle swarm optimization (PSO) algorithm
버전 4.1.12 (10.4 KB) 작성자:
Federico Giai Pron
This tool can be used for every type of optimization problem (minimization / maximization / fitting, single / multi objective).
Two test cases are shown:
- TestCase01_SingleObjFunOpt: Experimental data fitting.
- TestCase02_MultiObjFunOpt
How to run:
- 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
How to modify it:
- 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)
Other usages:
- Optimization of dynamic models on Simulink (look at my other projects on the File Exchange portal)
Contacts:
- Federico Giai Pron (fedegp3105@gmail.com)
- Support me: https://ko-fi.com/fgp310592
인용 양식
Federico Giai Pron (2023). Improved particle swarm optimization (PSO) algorithm (https://github.com/FGP310592/ParticleSwarmOptimization/releases/tag/4.1.12), GitHub. 검색됨 .
MATLAB 릴리스 호환 정보
개발 환경:
R2020b
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TestCase02_MultiObjFunOpt
버전 | 게시됨 | 릴리스 정보 | |
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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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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 |
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