Abstract
Diameter is an important index measuring the connectivity and the transfer efficiency of networks. In the process of minimizing APL (Average Path Length) by adding edges, we find that APL begins to decline linearly when the number of added edges increases to a turning point and the network diameter decreases to 2. We define this point as the critical state. Furthermore, we put forward the new concept of critical diameter and explore its properties. Memetic Algorithm combined with advantages of genetic algorithm and local search has shown good performance in solving combinational explosion problems. We propose an algorithm based on memetic algorithm in this paper to transform the network diameter into the critical diameter. The experiment results show that our proposed algorithm can efficiently transform the diameter into critical diameter.
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Du, H., Wang, J., He, X., Du, W. (2016). Exploration of the Critical Diameter in Networks. In: Gong, M., Pan, L., Song, T., Zhang, G. (eds) Bio-inspired Computing – Theories and Applications. BIC-TA 2016. Communications in Computer and Information Science, vol 681. Springer, Singapore. https://doi.org/10.1007/978-981-10-3611-8_35
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DOI: https://doi.org/10.1007/978-981-10-3611-8_35
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