HyperDE: An Adaptive Hyper-Heuristic for Global Optimization

HyperDE: An Adaptive Hyper-Heuristic for Global Optimization

Blog Article

In this paper, a novel global Neff KI5862S30G Integrated Fridge Freezer optimization approach in the form of an adaptive hyper-heuristic, namely HyperDE, is proposed.As the naming suggests, the method is based on the Differential Evolution (DE) heuristic, which is a well-established optimization approach inspired by the theory of evolution.Additionally, two other similar approaches are introduced for comparison and validation, HyperSSA and HyperBES, based on Sparrow Search Algorithm (SSA) and Bald Eagle Search (BES), respectively.The method consists of a genetic algorithm Laundry Pedestal that is adopted as a high-level online learning mechanism, in order to adjust the hyper-parameters and facilitate the collaboration of a homogeneous set of low-level heuristics with the intent of maximizing the performance of the search for global optima.Comparison with the heuristics that the proposed methodologies are based on, along with other state-of-the-art methods, is favorable.