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fun: function handle (y = fun(x), x is column vector)
np: number of particles
lb, ub: lb<x<ub
xMin: yMin = fun(xMin)
yMin: minimum value of the cost function fun
pso finds the global minimum for a constraint function (convex or non-con) with multiple variables.
Cite As
Yan Ou (2026). Particle Swarm Optimization (https://www.mathworks.com/matlabcentral/fileexchange/41708-particle-swarm-optimization), MATLAB Central File Exchange. Retrieved .
Acknowledgements
Inspired: Multi-objective RIME Algorithm (MORIME)
General Information
- Version 1.13.0.0 (8.01 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.13.0.0 | update |
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| 1.12.0.0 | update stop criteria |
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| 1.11.0.0 | add warm start |
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| 1.10.0.0 | update |
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| 1.9.0.0 | update pso |
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| 1.8.0.0 | Add demo file |
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| 1.7.0.0 | update |
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| 1.4.0.0 | updated version |
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| 1.3.0.0 | add screen shot and summary |
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| 1.1.0.0 | change the summary part to make user immediately understand the usage of function |
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| 1.0.0.0 |
