Research of improved immune clonal algorithms and its applications

Gang Shi, Yuanwei Jing
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引用次数: 7

Abstract

Based on the clonal selection theory, this paper is put forward an improved immune clonal selection algorithm through the introduction of cloning operator, and used to solve the CVRP problem. The algorithm through the introduction of clonal proliferation, super mutation operators and clonal selection operators, improves the global convergence speed, and can effectively avoid prematurity. Through those operators, the variety ofantibody and afinity maturation was enhanced. Experimental results showed that the algorithm has a remarkable quality of the global convergence reliability and convergence velocity, thus solving effectively the CVRP problem.
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改进免疫克隆算法及其应用研究
在克隆选择理论的基础上,通过引入克隆算子,提出了一种改进的免疫克隆选择算法,并用于解决CVRP问题。该算法通过引入克隆增殖算子、超突变算子和克隆选择算子,提高了全局收敛速度,并能有效避免早熟。通过这些操作,增强了抗体的多样性和亲和力成熟。实验结果表明,该算法具有显著的全局收敛可靠性和收敛速度,有效地解决了CVRP问题。
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