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The main inspirations of the Multi-Verse Optimizer (MVO) are based on three concepts in cosmology: white hole, black hole, and wormhole. The mathematical models of these three concepts are developed to perform exploration, exploitation, and local search respectively.
This is the source codes of the paper:
Seyedali Mirjalili, Seyed Mohammad Mirjalili, Abdolreza Hatamlou, " Multi-Verse Optimizer: a nature-inspired algorithm for global optimization " , Neural Computing and Applications, in press, 2015, DOI: http://dx.doi.org/10.1007/s00521-015-1870-7 ,
Link: http://link.springer.com/article/10.1007%2Fs00521-015-1870-7
If you have no access to the paper, please drop me an email at ali.mirjalili@gmail.com and I will send you the paper.
More information can be found in: http://www.alimirjalili.com/MVO.html
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A course on “Optimization Problems and Algorithms: how to understand, formulation, and solve optimization problems”:
https://www.udemy.com/optimisation/?couponCode=MATHWORKSREF
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Zitieren als
Seyedali Mirjalili (2026). Multi-Verse Optimizer (MVO) (https://de.mathworks.com/matlabcentral/fileexchange/50112-multi-verse-optimizer-mvo), MATLAB Central File Exchange. Abgerufen .
Quellenangaben
Inspiriert: A new MATLAB optimization toolbox
Allgemeine Informationen
- Version 1.2.0.0 (266 KB)
Kompatibilität der MATLAB-Version
- Kompatibel mit allen Versionen
Plattform-Kompatibilität
- Windows
- macOS
- Linux
| Version | Veröffentlicht | Versionshinweise | Action |
|---|---|---|---|
| 1.2.0.0 | An issue for solving the F17 has been fixed. MVO is now able to solve problems with variable range of parameters.
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| 1.1.0.0 | Description has been updated
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| 1.0.0.0 |
