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Hybrid Algorithm based on Differential Immune Clone with Orthogonal design method

机译:基于差分免疫克隆的正交设计混合算法

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A novel Hybrid Algorithm called Hybrid Algorithm based on Differential Immune Clone with Orthogonal design method (OHADIC) is proposed in this paper, which can avoid the decrease of population diversity and accelerate the convergence rate in evolutionary process. The novel algorithm adopts several main operators to evolve two populations; they are clone reproduction and selection, differential mutation, crossover and selection. Moreover, the orthogonal design method is not only to be used to design orthogonal crossover, but also is adapted to scheme orthogonal local search. In experiments, a wide range of benchmark functions is used to validate the novel hybrid algorithm. Performance comparisons with other well-known differential evolution algorithms including DE, JADE and SADE are also presented, and it is shown that OHADIC has better performance in optimizing these functions.
机译:提出了一种新的混合算法,即基于正交设计方法的基于差分免疫克隆的混合算法(OHADIC),它可以避免种群多样性的减少,并加快进化过程的收敛速度。新算法采用几个主要算子来演化两个种群。它们是克隆的繁殖和选择,差异突变,交叉和选择。此外,正交设计方法不仅用于设计正交分频器,而且还适用于方案正交局部搜索。在实验中,广泛的基准功能用于验证新型混合算法。还与其他著名的差分进化算法(包括DE,JADE和SADE)进行了性能比较,结果表明OHADIC在优化这些功能方面具有更好的性能。

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