COA

版本 1.0.6 (11.0 KB) 作者: Juliano Pierezan
A new metaheuristic for global optimization problems proposed in the IEEE Congress on Evolutionary Computation (CEC), 2018
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更新时间 2021/8/31
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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

引用格式

Juliano Pierezan (2024). COA (https://github.com/jkpir/COA), GitHub. 检索来源 .

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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1.0.6

New publications.
1.0.5

R version available.
1.0.4

The Python version has been add to the repository.
1.0.3

Github integration.
1.0.2

The publication's link (IEEE Xplore Digital Library) has been added to the description.
1.0.1

The description has been updated.
1.0.0

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要查看或报告此来自 GitHub 的附加功能中的问题，请访问其 GitHub 仓库。