Evolutionary Multi-Objective Optimization for Fairness-Aware Self-Adjusting Memory Classifiers in Data Streams

This paper introduces a novel approach, Evolutionary Multi-Objective Optimization for Fairness-Aware Self-Adjusting Memory Classifiers (EMOSAM), designed to enhance fairness in machine learning algorithms applied to data stream classification.