A novel Hybrid Clustering Algonthm (HCA) that incorporates the K-means into the canonical immune programming algorithm is proposed after analyzing the advantages and disadvantages of the classical k-means clustering a...
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A novel Hybrid Clustering Algonthm (HCA) that incorporates the K-means into the canonical immune programming algorithm is proposed after analyzing the advantages and disadvantages of the classical k-means clustering algorithm in the paper. The theory analyse and experimental results show, the algorithm not only avoids the local optima and is robust to imtialization, but also increases the convergent speed, meanwhile evidently restrains the degenerating phenomenon during the evolutionary process.
A new algorithm, based on the combination of the evolutionary programming and the classical gradient adustment techniques. Its efficiency is higher than that of general evolutionary programming. Numerical results demo...
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A new algorithm, based on the combination of the evolutionary programming and the classical gradient adustment techniques. Its efficiency is higher than that of general evolutionary programming. Numerical results demonstr8te the validity and effectiveness.
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