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  5. Convergence analysis of immune algorithms

Convergence analysis of immune algorithms

N.M. Korabljov, A.E. Makogon, A.A. Fomichov
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We consider a generalized approach to the analysis of the convergence of immune algorithms, depending on the immune operators. Shown that immune algorithms converge in full and on average, to a global optimum, while the antibodies are used to the operators of mutation and aging.
Keywords: convergence, an artificial immune system, immune algorithm, the operator, cloning, mutation, aging, selection