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Existing studies indicated that it is crucial to design network structures with well tolerance against potential attacks and failures in reality, and several attack models have been proposed and lucubrated. Aiming at enhancing network robustness suffering from edge-based attack cascading failures, we first propose a measure, Rce, to numerically evaluate the robustness of networks under cascading failures,...
Fuzzy cognitive maps (FCMs) are cognition fuzzy influence graphs, which are based on fuzzy logic and neural network. In this paper, we propose a novel method combining Memetic Algorithms (MAs) and Neural Networks (NNs) to learn large-scale FCMs, which is labeled as MA-NN-FCM. In MA-NN-FCM, MAs are used to determine the regulatory connections in the network from multiple observed response sequences...
A novel clustering algorithm called Immune Memetic Clustering Algorithm (IMCA) is proposed in the paper. IMCA combines Immune Clone Selection and Memetic algorithm; Two populations are used in the evolutionary process. Clone reproduction and selection, Memetic mutation, crossover, individual learning and selection are adopted to evolve the two populations. After watershed proceeding, extracting the...
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