Optimization of Fairhurst-Cook Model for 2-D Wing Cracks Using Ant Colony Optimization (ACO), Particle Swarm Intelligence (PSO), and Genetic Algorithm (GA)

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ISSN Print: 2327-4352
ISSN Online: 2327-4379
www.scirp.org/journal/jamp
E-mail: jamp@scirp.org

"Optimization of Fairhurst-Cook Model for 2-D Wing Cracks Using Ant Colony Optimization (ACO), Particle Swarm Intelligence (PSO), and Genetic Algorithm (GA)"
written by Mohammad Najjarpour, Hossein Jalalifar,
published by Journal of Applied Mathematics and Physics, Vol.6 No.8, 2018

has been cited by the following article(s):

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[1]	Half a century experience in rate of penetration management: Application of machine learning methods and optimization algorithms - A review Journal of Petroleum Science and Engineering, 2022 DOI:10.1016/j.petrol.2021.109575

[2]	Half a century experience in rate of penetration management: Application of machine learning methods and optimization algorithms - A review Journal of Petroleum Science and Engineering, 2022 DOI:10.1016/j.petrol.2021.109575

[3]	The effect of formation thickness on the performance of deterministic and machine learning models for rate of penetration management in inclined and horizontal wells Journal of Petroleum Science and Engineering, 2020 DOI:10.1016/j.petrol.2020.107160

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