Multi-objective Evolutionary Algorithm-optimized Fuzzy Inference System for HIV Automatic Treatment

摘要: HIV is a very complex disease, whose behavior and treatment are not clear cut. Intelligent Systems such as Evolutionary Algorithms Fuzzy Logic have proved to be able control highly non-linear dynamics also provide interpretability of the output results. We present in this paper Inference System optimized by Multi Objective Algorithm capable inferring optimum treatments. The treatments expressed terms concentration two main classes drugs used against HIV, RTIs PIs, throughout time. inferred presented lower compared traditional Highly Active Antiretroviral Therapies (HAART), thus achieving more affordable less traumatic methodology potentially applicable obtain automatic for other diseases.