Chaos Game Optimization (CGO)

版本 1.0.0 (2.1 KB) 作者: Siamak Talatahari

The Chaos Game Optimization (CGO) algorithm is a simple however efficient optimization meta-heuristic presented. The main concept of the CGO

关注

4.0

(2)

721.0 次下载

更新时间 2020/12/6

查看许可证

The Chaos Game Optimization (CGO) algorithm is a simple however efficient optimization meta-heuristic presented. The main concept of the CGO algorithm is based on some principles of chaos theory in which the configuration of fractals by chaos game methodology alongside the fractals self-similarity issues are in perspective.
Author and programmer: S. Talatahari, M. Azizi, Email: Siamak.Talat@gmail.com, mehdi.azizi875@gmail.com
Main paper:
1. S. Talatahari, M. Azizi, Chaos Game Optimization: a Novel Metaheuristic Algorithm, Artificial Intelligence Review, 2020, https://doi.org/10.1007/s10462-020-09867-w
2. S. Talatahari, M. Azizi, Optimization of Constrained Mathematical and Engineering Design Problems Using Chaos Game Optimization, Computers & Industrial Engineering, Volume 145, Pages 106560, https://doi.org/10.1016/j.cie.2020.106560

引用格式

Siamak Talatahari (2024). Chaos Game Optimization (CGO) (https://www.mathworks.com/matlabcentral/fileexchange/83938-chaos-game-optimization-cgo), MATLAB Central File Exchange. 检索来源 2024/4/29.

Talatahari, Siamak, and Mahdi Azizi. “Chaos Game Optimization: a Novel Metaheuristic Algorithm.” Artificial Intelligence Review, Springer Science and Business Media LLC, June 2020, doi:10.1007/s10462-020-09867-w.

查看更多格式

Talatahari, Siamak, and Mahdi Azizi. “Optimization of Constrained Mathematical and Engineering Design Problems Using Chaos Game Optimization.” Computers & Industrial Engineering, vol. 145, Elsevier BV, July 2020, p. 106560, doi:10.1016/j.cie.2020.106560.

查看更多格式

MATLAB 版本兼容性

创建方式 R2020b

兼容任何版本

平台兼容性

Windows macOS Linux

标签添加标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

CGO.m

版本	已发布	发行说明
1.0.0	2020/12/6		下载

MLA	Talatahari, Siamak, and Mahdi Azizi. “Chaos Game Optimization: a Novel Metaheuristic Algorithm.” Artificial Intelligence Review, Springer Science and Business Media LLC, June 2020, doi:10.1007/s10462-020-09867-w.
APA	Talatahari, S., & Azizi, M. (2020). Chaos Game Optimization: a novel metaheuristic algorithm. Artificial Intelligence Review. Springer Science and Business Media LLC. Retrieved from https://doi.org/10.1007%2Fs10462-020-09867-w
BibTeX	@article{Talatahari_2020, doi = {10.1007/s10462-020-09867-w}, url = {https://doi.org/10.1007%2Fs10462-020-09867-w}, year = 2020, month = {jun}, publisher = {Springer Science and Business Media {LLC}}, author = {Siamak Talatahari and Mahdi Azizi}, title = {Chaos Game Optimization: a novel metaheuristic algorithm}, journal = {Artificial Intelligence Review} }

MLA	Talatahari, Siamak, and Mahdi Azizi. “Optimization of Constrained Mathematical and Engineering Design Problems Using Chaos Game Optimization.” Computers & Industrial Engineering, vol. 145, Elsevier BV, July 2020, p. 106560, doi:10.1016/j.cie.2020.106560.
APA	Talatahari, S., & Azizi, M. (2020). Optimization of constrained mathematical and engineering design problems using chaos game optimization. Computers & Industrial Engineering, 145, 106560. Elsevier BV. Retrieved from https://doi.org/10.1016%2Fj.cie.2020.106560
BibTeX	@article{Talatahari_2020, doi = {10.1016/j.cie.2020.106560}, url = {https://doi.org/10.1016%2Fj.cie.2020.106560}, year = 2020, month = {jul}, publisher = {Elsevier {BV}}, volume = {145}, pages = {106560}, author = {Siamak Talatahari and Mahdi Azizi}, title = {Optimization of constrained mathematical and engineering design problems using chaos game optimization}, journal = {Computers {\&} Industrial Engineering} }