Using particle swarm optimization and genetic algorithms for optimal control of non-linear fractional-order chaotic system of cancer cells
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DOI: 10.1016/j.matcom.2022.11.023
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References listed on IDEAS
- Xiaojun Liu & Ling Hong & Lixin Yang & Dafeng Tang, 2019. "Bifurcations of a New Fractional-Order System with a One-Scroll Chaotic Attractor," Discrete Dynamics in Nature and Society, Hindawi, vol. 2019, pages 1-15, January.
- Yanxin Liu & Johnny Siu-Hang Li, 2021. "An Efficient Method for Mitigating Longevity Value-at-Risk," North American Actuarial Journal, Taylor & Francis Journals, vol. 25(S1), pages 309-340, February.
- El-Gohary, Awad & Alwasel, I.A., 2009. "The chaos and optimal control of cancer model with complete unknown parameters," Chaos, Solitons & Fractals, Elsevier, vol. 42(5), pages 2865-2874.
- Habibi, Noora & Lashkarian, Elham & Dastranj, Elham & Hejazi, S. Reza, 2019. "Lie symmetry analysis, conservation laws and numerical approximations of time-fractional Fokker–Planck equations for special stochastic process in foreign exchange markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 513(C), pages 750-766.
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Cited by:
- Abrar Yaqoob & Rabia Musheer Aziz & Navneet Kumar Verma & Praveen Lalwani & Akshara Makrariya & Pavan Kumar, 2023. "A Review on Nature-Inspired Algorithms for Cancer Disease Prediction and Classification," Mathematics, MDPI, vol. 11(5), pages 1-32, February.
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Keywords
Particle swarm optimization; Genetic algorithm; Optimal control; Chaotic system; Fractional-order;All these keywords.
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