Abstract
Through the design and analysis of the Nanchong sports public service information platform, we can see that in order to improve the city’s sports public service, we should improve the sports public service according to the factors such as the amount of activities, funds, and promotion. In view of the multiobjective optimization of sports public service in Nanchong City, the century establishment and analysis of the information platform were carried out. Its information platform includes intelligent venues, information platforms, sports safety, and other topics so as to achieve the purpose of healthy sports and relaxed sports, improve Nanchong people’s sports interest and experience as a whole, and enhance satisfaction. In order to alleviate the financial difficulties, relevant departments can carry out public welfare activities to sponsor sports public services in Nanchong City. According to the investigation, 29.4% of the randomly asked citizens have high satisfaction, 32.3% have no experience, and 16.5% are dissatisfied, which shows once again that Nanchong people have low awareness of the sports public service platform. In order to realize the good development of sports public service in this city, we should comprehensively promote the development of sports public service and improve citizens’ awareness, experience, and satisfaction.
Highlights
Multiobjective Problem SolvingPareto Sorting and Genetic Algorithm Solving Steps
Literature [1] proposes a multiobjective evolutionary algorithm with nondominant ranking because of its nonelitist computational complexity and specified shared parameters
Literature [2] makes the combination of multiple objectives form scalar objective function temporarily by the linear combination of multiple objectives and transforming the objectives into constraints
Summary
Pareto Sorting and Genetic Algorithm Solving Steps. Pareto chart is a chart used to arrange quality problems and quality improvement items in order of importance.
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