Heuristic

AlphaLearn proposes a multi-objective evolutionary framework for adaptive e-learning pathways that integrates fairness as a core optimization criterion alongside learning effectiveness and engagement.

Structural examination of how situational heuristics shape cognitive biases in online emergencies through adaptive expectations and implicit attributions, with demographic variation analysis.

Online Genetic Programming evolves dynamic flexible job shop scheduling rules in real-time without simulation models, achieving superior performance through adaptive fitness and population.

Integer Linear Programming heuristic for collision-free path planning of Automated Guided Vehicles in container terminals executing multiple transportation missions.

Automated stress testing framework using coverage-guided fuzzing to systematically detect unsafe stimulation patterns in machine learning-driven neuroprosthetic devices.