Study And Application On Matching Method For Aquatic Products Trading Online

With the rapid development of Internet technology,the online trading of aquatic products plays a more and more important role in the market trading of aquatic products.On the aquatic product line trading platform,the main purpose of the supplier and the demand side is to find the most satisfactory object and trade the goods with the minimum of time.However,due to the amount of information on the Internet is huge,this seemingly simple task is extremely difficult to complete.Because calculating and comparing the overall satisfaction of the supply side and the demand side is very time-consuming even with the help of a computer.Of course,it is impossible to quickly find the most appropriate transaction object.Online trading is popular all over the world today.The traditional aquatic products wholesale trading market is gradually disappearing.The third party aquatic products online trading platform shows new vitality,and especially plays an important role in the aggregation and efficiency of web search.But the current third party aquatic product online trading platform provides users with a simple and single search matching method,the actual efficiency and efficiency of the third party aquatic products online trading platform need to be improved.In order to improve the transaction efficiency of the third party aquatic product trading platform,the user experience and transaction satisfaction,this paper makes a mathematical modeling on the transaction matching process online on the basis of the research on the matching properties of the aquatic products online trading,and solves the online trading model of aquatic products by using the optimization algorithm.However,only improving the intelligence of the platform cannot completely solve the problem of the uneven Internet level of the users in the aquatic product trading platform.Therefore,this paper uses the online trading platform model of Business to Manager(B2M)to improve the demand of the platform users on the technology and methods of online trading.Relying on such research ideas,the mainly work is completed by this paper as the following:1.On the basis of the search and analysis the development status of third party aquatic products online trading platform,this paper analysis the background and the impact of online trading on the overall market of aquatic products,and carry out the transaction process design,combined with aquatic products online trading characteristics.2.Based on the analysis of the current domestic and foreign trade matching models and algorithms,this paper defines the basic concept of the transaction matching,and proposes that the user satisfaction should be the main goal of the online platform to match the transaction information of the supply and demand.3.Under the premise of extracting the core attributes of the aquatic product line and making the satisfaction calculation rules for the single attribute of aquatic products,a matching model of the aquatic product online Aiming at maximizing user based on the characteristics of the aquatic product is proposed,aiming at maximizing user satisfaction.4.Through the analysis of the transaction matching algorithm including the classical algorithms such as the GS(Gale-Shapley)algorithm and other classical algorithms,the genetic algorithm,ion group algorithm and the improved differential evolution algorithm are used to solve the matching model of the aquatic product online after encoding data by using Prüfer Encoding.The result of the operation is analyzed.5.Then,this paper illustrates the feasibility and practicality of the models and algorithms presented in this paper by using an example of online trading platform of third party aquatic product enterprises combined with B2M(Business to Manager).6.Summarize the main research results and applications in this paper,prospect and look forward to the development trend of online matching method for aquatic products,the problems that need to be solved in the future and the work needed to be perfected in this paper.This paper studies the matching problem of aquatic products trading between multiple suppliers and multiple demand parties online based on the idea of modeling and optimization in the application background of the actual third party aquatic product trading online platform,as its validity and practicability are proved by an instance in the last part.Because the satisfaction of both suppliers and suppliers is considered in the calculation of the transaction matching degree,the method is more reasonable and practical.