Low-Carbon Restaurant: Refrigerators Energy ...

Global warming poses a grave threat to the world’s ecological system. Economic development has led to a huge increase in energy demand, so energy efficiency and saving has become a key issue for most countries and low carbon restaurant pursuit has become a movement. This research constructed a Mixed Integer Linear Programming (MILP) model for maximizing the restaurant refrigerators energy efficiency and reducing the energy lost. The study proposed a Genetic Algorithm hybrid with Tabu Search (GAWT) to solve the model. From validation of the proposed approach, to a global optimal solution in a small problem size and compared proposed approach to other famous heuristics, such as Tabu Search and Ransom Search. It was found that storage time of food cargoes in restaurant refrigerators would save 28% when compared to random allocation. In historical literatures, the MILP model did not build and thus an efficient sequence and right take away time cannot be obtained. Future research suggests expanding this research to include more discussion in some extended sub problems is mixed.