COA
The Coyote Optimization Algorithm (COA) is a nature-inspired metaheuristic for global optimization proposed by Juliano Pierezan and Leandro dos Santos Coelho (2018).
Matlab version available on: https://www.mathworks.com/matlabcentral/fileexchange/68373-coa
Python and R versions available on: https://github.com/jkpir/COA
Original publication:
Pierezan, J. and Coelho, L. S. "Coyote Optimization Algorithm: A new metaheuristic for global optimization problems", Proceedings of the IEEE Congress on Evolutionary Computation (CEC), Rio de Janeiro, Brazil, July 2018, pages 2633-2640.
https://ieeexplore.ieee.org/document/8477769
Juliano Pierezan
https://www.linkedin.com/in/pierezanj
https://www.researchgate.net/profile/Juliano_Pierezan
https://scholar.google.com.br/citations?user=6S89BfgAAAAJ
Leandro dos Santos Coelho
https://www.linkedin.com/in/leandro-dos-santos-coelho-54559214/
https://www.researchgate.net/profile/Leandro_Coelho
https://scholar.google.com/citations?user=0X7VkC4AAAAJ&hl=en
Cite As
Juliano Pierezan (2024). COA (https://github.com/jkpir/COA), GitHub. Retrieved .
Pierezan, J. and Coelho, L. S. "Coyote Optimization Algorithm: A new metaheuristic for global optimization problems", Proceedings of the IEEE Congress on Evolutionary Computation (CEC), Rio de Janeiro, Brazil, July 2018, pages 2633-2640.
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Versions that use the GitHub default branch cannot be downloaded
Version | Published | Release Notes | |
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1.0.6 | New publications. |
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1.0.5 | R version available. |
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1.0.4 | The Python version has been add to the repository. |
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1.0.3 | Github integration. |
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1.0.2 | The publication's link (IEEE Xplore Digital Library) has been added to the description. |
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1.0.1 | The description has been updated. |
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1.0.0 |