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In this paper, an immune algorithm based on exponential variation (IABEV) is proposed to solve global numerical optimization problems. Variability scale of the algorithm is divided into several levels by the power series with a base of 10: large-scale level is conducive to jump out of local optimal solutions, which achieve global optimization, a small class of high-precision scales in favor of local...
In order to optimize the complex functions, an Immune Algorithm Based on Evaluation Mechanism (IABEM) is proposed. Firstly, the algorithm remembers useful mutation information based on immune memory and then guide the clone operation and mutation operation by the judge and evaluation of the information, which can strengthen the local search ability. Secondly, to strengthen the global search ability,...
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