Codebook design using improved particle swarm optimization based on selection probability of artificial bee colony algorithm

摘要

In the paper,anew selection probability inspired by artificial bee colony algorithm is introduced into standardparticle swarm optimization by improving the global extremum updating condition to enhance the capability of its overall situation search. The experiment result shows that the new scheme is more valuable and effective than other schemes in the convergence of codebook design and the performance of codebook, anditcan avoid the premature phenomenon of the particles.