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- W1972503875 abstract "Isomorphism discernment of graphs is an important and complicate problem. The problem is vital for graph theory based kinematic structures enumeration. To solve the problem, a Genetic Algorithm (GA) model and a Hopfield Neural Networks (HNNs) model are developed respectively, and some operators are improved to prevent premature convergence. By a comparative study, the advantages and limitations of the two approaches for graph isomorphism problem are discussed. Based on above, a hybrid Neural-Genetic algorithm is proposed. Numerical experiments demonstrate the performance of the hybrid algorithm is more successful compared with the approach applying GA or HNN simply." @default.
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- W1972503875 date "2009-01-01" @default.
- W1972503875 modified "2023-09-23" @default.
- W1972503875 title "A hybrid model for isomorphism identification in mechanism design based on intelligent manufacturing" @default.
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- W1972503875 doi "https://doi.org/10.1504/ijmtm.2009.026384" @default.
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