Social Work Management Intelligent System Based on Improved Genetic Algorithm

Abstract

With the continuous development of society, social work is gradually professionalized, and relevant service fields are also growing. However, the limited resources of social work activities and the different needs of service projects are also more prominent. The intelligent management concept can assist social work services, thus providing fresh vitality for the field. How to effectively apply this vitality to the actual work process and form a unique intelligent management mode of social work service has always been the core issue of the sustainable development of social work specialization. Intelligent social work management is a new development trend. Based on this background, in this paper, a class of the intelligent social work management system is designed. The core technology of this system is an improved genetic algorithm. The system design is generally divided into four modules, and each module has different functions, including user-level acquisition module, intermediate acquisition module, load balancing module, and platform-level data storage and analysis module. Through the design and test, after the design simulation experiment test, it can be known that the system can effectively complete the design objectives, solve practical application problems, reasonably complete the work tasks, and meet the needs of users. In addition, the application of the system can improve the efficiency and management of social work services. Finally, this paper makes an in-depth analysis of the problems existing in the field of actual social work management and proposes corresponding solutions on this basis. In this study, an improved genetic algorithm is combined with social work management, and an effective intelligent management system is designed to realize work assistance.