Search-Based Test Case Generation for Unfairness Detection in Multi-Layer Perceptron-Based Systems: A Genetic Algorithm Approach and Empirical Evaluation
A Genetic Algorithm–based Test Case Generation (GATCG) framework that combines knowledge-based reasoning with multi-objective evolutionary optimization to reveal unfair behavior dynamically is proposed that extends beyond single-metric detection to include automatic and adaptable fairness testing.