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- W2387683256 abstract "Based on the clonal selection theory in the natural immune system,a novel artificial intelligent algorithm,Immune Monoclonal Strategy Algorithm (IMSA) is proposed in this paper.By simulating the mechanisms such as self-adjusting,learning and adaptation in the natural immune system,the algorithm realizes the global optimal computation as well as the local searching.According to antibody-antigen affinity,the algorithm can adjust adaptively the clonal scale of antibody population.It is proved theoretically that the IMSA is convergent with probability 1,and it is shown that IMSA has the strong abilities in having high convergence speed,enhancing the diversity of the population and avoiding the premature convergence to some degree,with the computer simulations to 4 benchmark functions." @default.
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- W2387683256 date "2004-01-01" @default.
- W2387683256 modified "2023-09-25" @default.
- W2387683256 title "An Immune Monoclonal Strategy Algorithm" @default.
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