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Block-Wise Multi-Objective Binary Control of HIV Treatment: Synchronous and Asynchronous Control Strategies | ||
| Control and Optimization in Applied Mathematics | ||
| مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 26 خرداد 1405 اصل مقاله (1.46 M) | ||
| نوع مقاله: Research Article | ||
| شناسه دیجیتال (DOI): 10.30473/coam.2026.75678.1341 | ||
| نویسندگان | ||
| Islem Bennadja* 1؛ Omar Kebiri2؛ Djamal Chaabane1 | ||
| 1Laboratory AMCD & RO, Department of Operational Research, Faculty of Mathematics, University of Science and Technology Houari Boumediene (USTHB), Algiers, Algeria | ||
| 2Department of Stochastics and its Applications, Institute of Mathematics, Brandenburg University of Technology Cottbus-Senftenberg (BTU), Cottbus, Germany | ||
| چکیده | ||
| Human immunodeficiency virus (HIV) gradually depletes CD4+ T-cells, weakening the immune system and potentially leading to AIDS without effective treatment. To counter this immune decline, antiretroviral therapy (ART) has greatly improved the clinical management of HIV by suppressing viral replication and preserving immune function. However, because treatment is often required over long periods, its use may be limited by cumulative toxicity, drug resistance, and adherence challenges. These limitations have encouraged the study of structured treatment interruptions, in which therapy is temporarily stopped and resumed according to a planned schedule to reduce drug exposure while maintaining viral control. In this context, this work proposes a clinically motivated block-wise multi-objective optimization framework for HIV treatment scheduling, based on a nonlinear six-state dynamical model with two binary control variables corresponding to protease inhibitor (PI) and reverse transcriptase inhibitor (RTI) therapies. Rather than determining a single treatment schedule over the entire time horizon, the proposed framework incorporates sequential re-optimization over consecutive 30-day blocks to reflect periodic clinical reassessment and treatment adaptation. The study also compares asynchronous and synchronous binary control strategies under identical conditions. Within each block, daily treatment decisions are optimized using the Non-dominated Sorting Binary Genetic Algorithm II (NSBGA-II), with the aim of preserving CD4+ T-cell levels, suppressing viral load, and reducing total drug administration. This formulation provides a more clinically realistic basis for constructing adaptive and personalized HIV treatment schedules. | ||
تازه های تحقیق | ||
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| کلیدواژهها | ||
| Multi-objective optimization؛ Binary optimal control؛ HIV؛ ART scheduling | ||
| مراجع | ||
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آمار تعداد مشاهده مقاله: 12 تعداد دریافت فایل اصل مقاله: 7 |
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