ABSTRACT
With the rapid development of machine learning and artificial intelligence, hotel service robots are widely used, but there are many problems to be solved in the scheduling scheme of hotel service robots. In this study, the Pareto optimal definition is used to model the problem, and a nondominated sorting heuristic method including genetic algorithm and differential evolution algorithm is designed to solve this problem. Experimental results show the effectiveness and stability of our algorithm. In addition, compared with the previous methods, the method proposed in this paper can provide a more personalized and reasonable service robot scheduling scheme for hotels. Finally, the hotel can optimize its management and operation and further deepen the degree of hotel intelligence.
ABSTRACT
Background: To investigate impact of the 2019 novel coronavirus disease (COVID-19) pandemic on willingness to adopt healthy dietary habits in China. Methods: A survey was carried out, and subjective perception of impact due to COVID-19 and willingness to change dietary habits were obtained. Results: A total of 22,459 subjects were derived from China, with an average age of 27.9±7.8 years old. Of them, the mean score of willingness to adopt healthy dietary habits was 2.2 (ranges from -9 to 9). Multivariate regression analysis showed that the impact of the COVID-19 pandemic (epidemic concern, impact of psychology, impact of work or study) are associated with a higher score of willingness to adopt healthy dietary habits among female, the older, on-medical worker, and individuals married or with higher education level, normal BMI. Conclusions: There was a positive improvement to a proper diet, so the changing features of diets should be considered in nutritional interventions for maintaining health, and prevention and control COVID-19 during the pandemic period.