A hybrid model for isomorphism identification in mechanism design based on intelligent manufacturing
by Liao Ningbo, Yang Ping
International Journal of Manufacturing Technology and Management (IJMTM), Vol. 18, No. 3, 2009

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.

Online publication date: Tue, 09-Jun-2009

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