Abstract
Objective. The mainstream development trend in the era of intelligent sports. At present, with the rapid development of science and technology, it is absolutely wise to combine group intelligence with community intelligent sports services for the elderly. Group intelligence has opened a new era of intelligent sports service. Group intelligence has become an important factor in the development and growth of community intelligent sports service for the elderly and has become a hot topic at present. However, intelligence has encountered difficulties on the road of development. At present, the aging of the population is getting worse and worse, and the elderly have higher and higher requirements for fitness and leisure services, which leads to the need for sports services to be continuously strengthened. The distribution of resources is uneven, the data is not clear enough, and the swarm intelligence algorithm is not perfect. With the adaptation of the elderly to intelligence, more intelligent, concise, and personalized services need to be developed. The most important method is to optimize the swarm intelligence algorithm continuously. In this paper, PSO algorithm is optimized and HCSSPSO algorithm is proposed. HCSSPSO algorithm is a combination of PSO algorithm and clonal selection strategy, and test simulation experiments, PSO algorithm, CLPSO algorithm, and HCSSPSO algorithm for comparison. From the experimental results, HCSSPSO algorithm has better convergence speed and stability, whether it is data or comparison graph. The data optimized by HCSSPSO algorithm is higher than the original data and the other two algorithms in terms of satisfaction and resource allocation.
Highlights
At present, people pay attention to the development of science and technology, and at the same time, they pay attention to the development of sports services for the elderly
The service structure is no longer single but diversified. e elderly are no longer affected by time, weather, and geographical location, which enables the elderly to participate in community sports and enjoy the services brought by science and Journal of Healthcare Engineering technology at will, greatly improving the sports level and enthusiasm of the elderly, and enabling smart sports services to continuously absorb suggestions and continuous optimization and improvement
Community elderly service system is in a series of problems, and the solution can be found in the reform of community sports service management system and professional guidance [12], and laws, venues, facilities, resources, and other aspects should be strengthened
Summary
People pay attention to the development of science and technology, and at the same time, they pay attention to the development of sports services for the elderly. In the field of swarm intelligence, the development of new algorithms is closely related to biological behavior. According to the ant colony optimization technology in swarm intelligence, a network framework suitable for the performance factors of small satellites can be constructed. Is smart community model is based on BCG and provides solutions for changing the original rigid, single, and crude social old-age care services. Community elderly service system is in a series of problems, and the solution can be found in the reform of community sports service management system and professional guidance [12], and laws, venues, facilities, resources, and other aspects should be strengthened. The development of intelligent sports for the elderly in the community will be deeply analyzed and studied. HCSSPSO algorithm has good convergence speed and stability in both data and comparison graph. e data optimized by HCSSPSO algorithm is higher than the original data and the other two algorithms in terms of satisfaction and resource allocation
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
