Construction of E-commerce Service Platform under Hybrid Genetic Algorithm

Abstract

In recent years, economic and information globalization, e-commerce booming, and the application and popularization of the Internet and mobile payments have accelerated the development of the e-commerce industry. People are relying more and more on the Internet for shopping, and all kinds of shopping needs can basically be met online. For e-commerce companies, the construction of e-commerce service platforms can help promote the improvement of corporate economic benefits; for users, it is greatly satisfy their shopping needs. Based on this, the purpose of this paper is to study the construction of e-commerce service platform under hybrid genetic algorithm. This article first conducts a system analysis, expounds the design of an e-commerce service platform based on hybrid genetic algorithm, and clarifies the overall design framework and specific functional modules of the e-commerce service platform. Finally, this article has carried on the performance and the function test to the system. The test results show that the average response time of system login is less than 2 seconds when there are more than 10 to 1500 users concurrently; when more than 10 to 2000 users are concurrently, the business data declaration time is less than 4 seconds. It can be seen that the system has good performance.