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Parameters Optimization of Cognitive Network Based on ArtificiaI Physics MuIti-Objective AIgorithm
Author(s): 
Pages: 1526-1530
Year: Issue:  8
Journal: Acta Electronica Sinica

Keyword:  artificial physicsmulti-objective optimizationcognitive engineparameters adjustments;
Abstract: To solve the engine parameter adjustment problem of cognitive radio networks,an artificial physics multi-objective optimization algorithm was proposed.According to its binary encoded features of cognitive parameters,Hamming distance based in-dividual ranking method was designed and particle updated equation was improved,and finally the Pareto optimal set were achieved. Simulation results show that under the multi-carrier environment,the proposed algorithm can adjust transmission power and modula-tion mode according to the changing of channel and cognitive user demands.So it meets the demands for parameters optimization.
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