Comparison of particle swarm and bacterial foraging optimization algorithms for therapy planning in HIV/AIDS patients

DOI10.1142/S1793524516500248zbMath1339.92031OpenAlexW2146960069WikidataQ58143035 ScholiaQ58143035MaRDI QIDQ2788705

P. Jawahar, K. Kamalanand

Publication date: 22 February 2016

Published in: International Journal of Biomathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s1793524516500248

zbMATH Keywords

swarm intelligenceantiretroviral therapyHIV/AIDSparticle swarm optimizationbacterial foraging optimization

Mathematics Subject Classification ID

Control/observation systems involving computers (process control, etc.) (93C83) Medical applications (general) (92C50) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20) Control/observation systems governed by ordinary differential equations (93C15)

Related Items (2)

Review on nature-inspired algorithms ⋮ Comparison of particle swarm and bacterial foraging optimization algorithms for therapy planning in HIV/AIDS patients

Cites Work

• Unnamed Item
• Modeling HIV dynamics and antiviral response with consideration of time-varying drug exposures, adherence and phenotypic sensitivity
• Comparison of particle swarm and bacterial foraging optimization algorithms for therapy planning in HIV/AIDS patients
• INITIATION OF HIV THERAPY
• Hierarchical Bayesian Methods for Estimation of Parameters in a Longitudinal HIV Dynamic System

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