An Evaluation of Propagation of the HIV-Infected Cells via Optimization Problem

Mathematical models have the potential to contribute design and evaluate infectivity spreading growth of human immunodeficiency virus (HIV). Providing a better understanding dynamics HIV infection in vivo immune system interactions with can improve classification infected cells drive an early diagnosis disease drug evaluations. We analyze two-dimensional environment model from new perspective, terms multi-objective optimization problem, by introducing linear modeling approach providing numerical evidence for its suitability general Instantaneous Control Algorithm.