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This thesis investigates two distinct but related optimization problems: bilevel and minmax problems, in the context of evolutionary algorithms (EAs). Bilevel optimization involves hierarchical decision-making, where decisions at the upper level are subject to constraints defined by the solutions of an optimization problem at the lower level. These problems are …

The rapid advancements in Machine Learning (ML) and Black-Box Optimization (BBO) have led to an increased reliance on benchmarking data for evaluating and comparing algorithms across diverse domain tasks. However, the effective exploitation of this data is hindered by challenges such as syntactic variability, semantic ambiguity, and lack of standardization. …

Cardiovascular diseases (CVDs) are a leading cause of mortality globally, significantly affecting patient quality of life and imposing considerable demands on healthcare systems. Chronic heart failure (CHF), a common outcome of CVDs, represents a growing health burden with an increasing incidence. Accurate and early identification of CVDs is critical for …

This thesis investigates machine learning methods for analyzing sequential textual data. Sequential textual data refers to text collected in a specific order where the sequence is significant. Examples include (1) sentences, where word usage and order must adhere to the rules of grammar, (2) news reporting on events happening at …

Wearable robotics holds promise for enhancing human capabilities and addressing motor challenges in individuals with impairments, amputations, or those who are healthy. Exoskeletons, among various wearable devices, are designed to be worn on the upper or lower limbs. While some applications, like in the medical field, have been widely adopted, …

Omnipresence of sensor-equipped devices spurred rapid development of e-health and mhealth applications in the past decades. Despite their wide-spread adoption in the form of wearables, such devices are ultimately not a universal or ideal solution for regular health monitoring due to their reliance on battery, requiring skin contact and general …

Lipid droplets (LDs) are intracellular organelles that store lipids, mainly triacylglycerols (TAGs) and sterol esters. LDs were initially considered just inert fat reservoirs but have now been identified as critical players in the cellular stress response, especially in cancer cells. In response to various kinds of stress, including nutrient deprivation …

Mercury, a toxic element, known for its physical and chemical properties, spreads throughout the environment and is found in various ecosystems, including water, air, soil, and biological systems. The natural mercury cycle begins beneath the earth's crust, where it rises to the surface and is released into the air through …

In this thesis, we introduce novel methods for equation discovery (ED), based on the use of probabilistic grammars. ED and symbolic regression address the task of finding a symbolic mathematical model that best describes observed data. Models can be as simple as an algebraic equation or as complex as a …

Despite the large volume of recently published papers in the field of constrained multiobjective optimization, the understanding and characterization of constrained multiobjective optimization problems (CMOPs) for benchmarking multiobjective evolutionary algorithms (MOEAs) and the related constraint handling techniques (CHTs) remain unsatisfactory. Therefore, selecting appropriate CMOPs for benchmarking is challenging and lacks …