Retraction Note to: Stability of anti-dipping rock slope in coastal areas based on genetic algorithm and big data film and television creation

Abstract

In the context of the widespread application of big data technology, the field of film and television production has been greatly affected. In the new era of industrial development brought about by the use of “Internet +,” the problems caused by changes in the creative environment of the film and television industry cannot be ignored. At present, most film and television productions still have some shortcomings for big data applications. Affected by big data, in the process of film and television creation, film and television creation needs to follow the pace of current social development, resulting in creators not paying attention to the content of film and television works, and continuously reducing the cost of film and television production. Compared with traditional algorithms, genetic algorithms start from one part and simultaneously search for the best solution to the problem. This makes it easier to search for the best solution comprehensively, and avoid the trap of one-sided best solution due to partial limitations. Genetic algorithm does not rely on derivative information and other auxiliary information to find the best solution. Genetic algorithm uses probabilistic rules instead of decisive rules, so the results may not be exactly the same each time, but random search and direction search can be completely combined. In this paper, through theoretical analysis, physical model, and numerical simulation, the investigation of slope failure and failure provides a good reference basis for slope reinforcement. Use this case to analyze film and television creation, make full use of the massive information provided by big data, and achieve the timeliness that big data should have. Therefore, film and television creators should pay attention to this issue and actively make improvements to ensure the continuous development of the film and television creation industry in the context of big data.