Research on Dynamic Clonal Selection Algorithm Combined with Artificial Fish School
As in the dynamic clone selection algorithm, the detector use factor is low, the overall importance is bad, this article proposed that the behavior of follows, gathers which has the overall importance and the rapid convergence in the artificial school of fish algorithm applicant in the dynamic clone selection algorithm detector generation phase. Meanwhile, the efficiency of algorithm is improved, and many questions which stochastically the detector takes are solved. The simulation experiment indicated that the improved algorithm has the advantage of the artificial school fish algorithm and made up the question that earlier period to restrain slowly, the detector production efficiency low in its own system.
Helen Zhang and David Jin
Y. L. Tian and Y. H. Liu, "Research on Dynamic Clonal Selection Algorithm Combined with Artificial Fish School", Applied Mechanics and Materials, Vols. 63-64, pp. 552-556, 2011