The Study Of Mobile Phone Technology Based On Multi-agent Genetic Algorithm

Mobile phones have a significant impact on people’s lives, so choose the mobile phonetechnology as a research object, study the evolution of the development of mobile phonetechnology has an important practical significance.Multi-agent genetic algorithms and simulation method are the main research method thispaper. Multi-agent genetic algorithm has some substantive rationality on evolution technologyresearch. It is obvious that the essence of the technology evolution is a process auctioned by aseries of optimization agents. Multi-agent genetic algorithm can be more natural to describethe establishment of multi-agent optimization model and solution. Therefore, we select themulti-agent genetic algorithm to study the evolution of mobile phone technology. Simulationmethod is suitable for modeling evolution of natural things. Use of simulation methods tosimulate the mobile phone technology evolution, has certain advantages that show theevolution more intuitive and specific.For mobile users, mobile phone companies, mobile phone technology, we defines thecorresponding user agent, brand agent, product agent, the product agent is signified bychromosome which has17kinds of technology gene. Summarize the main attributes,operations and rules of agents, to build a mobile phone technology evolution model, and makesimulation of the evolution of mobile phones based simulation platform. Specifically, regardsthe user satisfaction with the product as fitness function. Brand agent has research anddevelopment,creat new product,eliminate product,death behavior,etc. Product agent hasmutation,technology innovation, creat new product, death behavior,etc. In the joint efforts ofthe user agent, brand agent, and the product, technology achieves a continuous evolution oftechnology and innovation.Combined with simulation software to simulate the mobile phonetechnology, setting the technical parameters based on real data. Select several index to verifythe simulation result from two aspects of technology and market. The results show that thesimulation results of the model is basically consistent with market data in reality. And basedon the rationality of the model, forecast the trends of mobile phone technology. In the nextthree years, mobile phone technology is in a stable period of development, the overalldevelopment is slow, technological progress is small. While the market is also slow growth insales, average price remains slow downward trend.