Hyper-heuristics have drawn increasing attention from the research community in recent years. In this study
, we propose an extended choice function based hyper-heuristic for multi-objective optimisation based on the great deluge algorithm (GDA).
We employ a non-deterministic move acceptance strategy using the great deluge algorithm that accepts only improving moves and worsen moves
in limited spaces under the boundary condition. As our hyper-heuristic approach is designed for multi-objective optimisation,
