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In this paper, the adaptive genetic algorithm is applied to the auto parts suppliers selection problem, through the empirical analysis, verified by the feasibility and validity of the algorithm to solve such a problem. Firstly, this paper constructs a multi-objective mathematical model for suppliers composition selection, using the linear weighting method to converse this model to a single objective...
Meta-search engines are put forward to solve the problem that independent search engines have far too low Internet information coverage rate. Although there are many research literatures about meta-search engines, never a comprehensive analysis research literature about the current situation and market situation of meta-search engines is given. This paper tries to analyze meta-search engines from...
For the beyond 3G system with multiple heterogeneous RATs, the Radio Resource Management (RRM) considering multiple access network is most important for the service provisions. To guarantee the good user experience, the network selection should consider the QoS requirements of traffics and different access networks' situations to give the best choice for the users. Based on the proposed handover procedure,...
Constraint Satisfaction Problem is an important branch of Artificial Intelligence, one typical algorithm to solve Constraint Satisfaction Problem is the searching algorithm based on backtracking. The Dynamic Backtracking algorithm proposed by Ginsberg in 1993 is an efficient algorithm which uses backtracking integrates with constraint propagation. Now, according to the basic idea of dynamic backtracking,...
Aiming at the risks of the real estate appraisal methods of subjectivity, easy handling high dimensional data, Projection Pursuit technique is proposed risk evaluation of real estate to reduce the dimension. And using the PSO algorithm to optimize the projection index function to establish the Projection Pursuit of Real Estate Risk Assessment Model witch is based on PSO. The model is high of objectivity...
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