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- 저자 : Changai Chen (검색결과 2 건)
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Research on a Dynamic E-commerce System based on Middleware Technology and Web Service
Changai Chen,Fangfang Geng,Jiayun Zhang,Yu Zhao 보안공학연구지원센터 2016 International Journal of Future Generation Communi Vol.9 No.9
With the continuous development of information technology and the growing popularity of the Internet, the E-commerce system based on the traditional distributed technology has exposed more and more problems and the development of dynamic E-commerce system has become the target of the next generation of E-commerce. Middleware technology is the trend of the development of software, which is famed and the software developing fastest. So the middleware technology is used to develop the E-commerce system in order to propose a new generation dynamic E-commerce system. Several key techniques J2EE architecture and MVC design pattern are introduced. Then a service-oriented architecture(SOA) and a service-oriented dynamic E-commerce system based on middleware technology and web services are researched and designed. Web services can provide exchange of information and system integration for dynamic E-commerce, support more complex types of web interaction and collaboration. J2EE technology and MVC design pattern can simplify the software development, improve the software performance and quickly construct the dynamic E-commerce system with the good expansibility, maintainability, dependability and high usability.
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An Improved Quantum Ant Colony Optimization Algorithm for Solving Complex Function Problems
Changai Chen,Yanwen Xu 보안공학연구지원센터 2015 International Journal of Multimedia and Ubiquitous Vol.10 No.11
In order to improve the slow convergence speed and avoid falling into the local optimum in ant colony optimization algorithm, an improved quantum ant colony optimization (IMAQACO) algorithm based on combing quantum evolutionary algorithm with ant colony optimization algorithm is proposed for solving complex function problems in this paper. In the IMAQACO algorithm, the quantum state vectors are used to represent the pheromone, the adaptively dynamical updating strategy is used to control pheromone evaporation factor, the quantum rotation gate is used to realize the ant movement and change the convergence tend of quantum probability amplitude, quantum non-gate is used to realize ant location variation, so the IMAQACO algorithm has better global search ability and population diversity than ACO algorithm. In order to test the optimization performance of IMAQACO algorithm, several benchmark functions are selected in here. The tested results indicate that the IMAQACO can effectively improve the convergence speed and avoid falling into the local optimum, and has a stronger global optimization ability and higher convergence speed in solving complex function problems.
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