Sofian Kassaymeh

Proportional Reward and Temporal Discounting for Monopoly-Free Heterogeneous Metaheuristic Portfolios

Real-world optimization landscapes are typically dynamic, high-dimensional, and uncertain, and a single meta-heuristic with fixed control parameters rarely sustains strong performance across such environments, as formalized by the No Free Lunch theorem. Existing adaptive frameworks attempt to address this through onlin...