An Inductive Immune Algorithm Based on the Cooperation Principles. Bidjuk P.I., Bardachov J.N., Litvinenko V.I., Fefelov A.A.,Hodakovskij A.V. IWIM, Prague, 2007.
Article (in pdf)
Abstract. An approach to solve an approximation problem by means of immune algorithm that is based on the principle of cooperation of population antibodies is offered. The formal description of structure of an antibody and ways of their association within the limits of a population in the computer network functioning as a unit is given. The way of antibodies estimation, that are considered as elements of a network, is proposed. Description of the training algorithm based on a principle of clonal selection is presented. The basic phases of functioning of the algorithm are considered, such as: growth of a network, mutation of cells, and network compression.
Keywords. immune network, clonal algorithm, approximation, forecasting, cooperative immune algorithm
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