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In order to increase the diversity of immune algorithm when solving high-dimensional global optimization problems, a novel clonal selection algorithm with randomized clonal expansion strategy(RCSA) is proposed. The main characteristic of RCSA is clonal expansion. In addition, a novel performance evaluation criterion is constructed in this paper, by which the performance of different population-based...
The clone selection algorithm (CSA) is a stochastic, population-based evolutionary method that can be applied to the global optimization problems. The paper proposes a variation on the traditional CSA: clone selection algorithm with simplex crossover, or CSA_SPX. The novel algorithm employs the randomized distribution scheme for clone individuals, bit hyper-mutation and simplex crossover to significantly...
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