Multi-Verse Optimizer (MVO)

MVO is a novel meta-heuristic algorithm for global optimization
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Mise à jour 22 mai 2018

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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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Citation pour cette source

Seyedali Mirjalili (2024). Multi-Verse Optimizer (MVO) (https://www.mathworks.com/matlabcentral/fileexchange/50112-multi-verse-optimizer-mvo), MATLAB Central File Exchange. Récupéré le .

Compatibilité avec les versions de MATLAB
Créé avec R2011b
Compatible avec toutes les versions
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Version Publié le Notes de version
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.
Links added:
https://www.udemy.com/optimisation/?couponCode=MATHWORKSREF
https://www.udemy.com/geneticalgorithm/?couponCode=MATHWORKSREF

1.1.0.0

Description has been updated
Image and typo

1.0.0.0